{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,9]],"date-time":"2026-11-09T23:43:45Z","timestamp":1794267825251,"version":"4.9.0"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014180","name":"Junta de Castilla y Le\u00f3n","doi-asserted-by":"publisher","award":["SA097P20"],"award-info":[{"award-number":["SA097P20"]}],"id":[{"id":"10.13039\/501100014180","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008431","name":"Consejer\u00eda de Educaci\u00f3n, Junta de Castilla y Le\u00f3n","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008431","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014440","name":"Espa\u00f1a Ministerio de Ciencia Innovaci\u00f3n y Universidades","doi-asserted-by":"publisher","award":["FPU21\/00446"],"award-info":[{"award-number":["FPU21\/00446"]}],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Photodiagnosis and Photodynamic Therapy"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1016\/j.pdpdt.2024.104269","type":"journal-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T18:40:53Z","timestamp":1720723253000},"page":"104269","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":14,"special_numbering":"C","title":["Using computational learning for non-melanoma skin cancer and actinic keratosis near-infrared hyperspectral signature classification"],"prefix":"10.1016","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4810-2001","authenticated-orcid":false,"given":"Lloyd A.","family":"Courtenay","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Innes","family":"Barbero-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saray","family":"Mart\u00ednez-Lastras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susana","family":"Del Pozo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miriam","family":"Corral","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego","family":"Gonz\u00e1lez-Aguilera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.pdpdt.2024.104269_bib0001","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.jaad.2016.07.045","article-title":"Impact of skin cancer screening and secondary prevention campaigns on skin cancer incidence and mortality: a systematic review","volume":"76","author":"Brunssen","year":"2017","journal-title":"J. Am. Acad. Dermatol."},{"issue":"1","key":"10.1016\/j.pdpdt.2024.104269_bib0002","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/jid.2013.304","article-title":"Non-melanoma skin cancer incidence and impact of skin cancer screening on incidence","volume":"134","author":"Eisemann","year":"2014","journal-title":"Journal of Investigative Dermatology"},{"issue":"5","key":"10.1016\/j.pdpdt.2024.104269_bib0003","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1111\/j.1365-2133.2012.10830.x","article-title":"A systematic review of worldwide incidence of nonmelanoma skin cancer","volume":"166","author":"Lomas","year":"2012","journal-title":"British Journal of Dermatology"},{"issue":"3","key":"10.1016\/j.pdpdt.2024.104269_bib0004","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1001\/archdermatol.2010.19","article-title":"Incidence estimate of nonmelanoma skin cancer in the United States, 2006","volume":"146","author":"Rogers","year":"2010","journal-title":"Arch. Dermatol."},{"issue":"7","key":"10.1016\/j.pdpdt.2024.104269_bib0005","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1001\/archinte.158.7.726","article-title":"Most Common Dermatologic Problems Identified by Internists, 1990-1994","volume":"158","author":"Feldman","year":"1998","journal-title":"Arch. Intern. Med."},{"issue":"1","key":"10.1016\/j.pdpdt.2024.104269_bib0006","doi-asserted-by":"crossref","first-page":"S4","DOI":"10.1067\/mjd.2000.103342","article-title":"Epidemiology of Actinic Keratoses and Squamous Cell Carcinoma","volume":"42","author":"Salasche","year":"2000","journal-title":"J. Am. Acad. Dermatol."},{"issue":"5","key":"10.1016\/j.pdpdt.2024.104269_bib0007","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1111\/jdv.12848","article-title":"Actinic Keratosis with Atypical Basal Cells (AK I) Is the Most Common Lesion Associated with Invasive Squamous Cell Carcinoma of the Skin","volume":"29","author":"Fern\u00e1ndez-Figueras","year":"2015","journal-title":"Journal of the European Academy of Dermatology and Venereology"},{"issue":"1 Pt 2","key":"10.1016\/j.pdpdt.2024.104269_bib0008","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1067\/mjd.2000.103339","article-title":"The Risk of Progression to Invasive Disease","volume":"42","author":"Glogau","year":"2000","journal-title":"J. Am. Acad. Dermatol."},{"issue":"8","key":"10.1016\/j.pdpdt.2024.104269_bib0009","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2340\/00015555-3486","article-title":"Actinic Keratosis Diagnosis and Increased Risk of Developing Skin Cancer: a 10-Year Cohort Study of 17,651 Patients in Sweden","volume":"100","author":"Guorgis","year":"2020","journal-title":"Acta Derm. Venereol."},{"issue":"4","key":"10.1016\/j.pdpdt.2024.104269_bib0010","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1111\/bjd.14499","article-title":"Preoperative Prediction of Histopathological Outcome in Basal Cell Carcinoma: flat Surface and Multiple Small Erosions Predict Superficial Basal Cell Carcinoma in Lighter Skin Types","volume":"175","author":"Ahnlide","year":"2016","journal-title":"British Journal of Dermatology"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0011","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1590\/abd1806-4841.20153446","article-title":"The Relation between Dermoscopy and Histopathology of Basal Cell Carcinoma","volume":"90","author":"Emiroglu","year":"2015","journal-title":"An. Bras. Dermatol."},{"issue":"5","key":"10.1016\/j.pdpdt.2024.104269_bib0012","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.1111\/bjd.13510","article-title":"The Clinical and Dermoscopic Features of Invasive Cutaneous Squamous Cell Carcinoma Depend on the Histopathological Grade of Differentiation","volume":"172","author":"Lallas","year":"2015","journal-title":"British Journal of Dermatology"},{"issue":"5","key":"10.1016\/j.pdpdt.2024.104269_bib0013","first-page":"1255","article-title":"Prospective Study of the Accuracy of the Surgeon's Diagnosis in 2000 Excised Skin Tumors","volume":"101","author":"Hallock","year":"1998","journal-title":"Plast. Reconstr. Surg."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0014","doi-asserted-by":"crossref","first-page":"180","DOI":"10.3389\/fmed.2019.00180","article-title":"Dermoscopy of Melanoma and Non-melanoma Skin Cancers","volume":"6","author":"Kato","year":"2019","journal-title":"Front. Med. (Lausanne)"},{"issue":"9","key":"10.1016\/j.pdpdt.2024.104269_bib0015","first-page":"1099","article-title":"The Kinetics of Skin Cancer: progression of Actinic Keratosis to Squamous Cell Carcinoma","volume":"33","author":"Fuchs","year":"2007","journal-title":"Dermatologic Surgery"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0016","series-title":"2019 4th International Conference on Fog and Mobile Edge Computing, FMEC 2019","first-page":"301","article-title":"Machine learning on mobile: an on-device inference app for skin cancer detection","author":"Dai","year":"2019"},{"issue":"7639","key":"10.1016\/j.pdpdt.2024.104269_bib0017","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"Esteva","year":"2017","journal-title":"Nature"},{"issue":"2","key":"10.1016\/j.pdpdt.2024.104269_bib0018","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1111\/bjd.16924","article-title":"Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis","volume":"180","author":"Fujisawa","year":"2019","journal-title":"British Journal of Dermatology"},{"issue":"6","key":"10.1016\/j.pdpdt.2024.104269_bib0019","doi-asserted-by":"crossref","first-page":"1662","DOI":"10.3390\/jcm9061662","article-title":"Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support","volume":"9","author":"Leon","year":"2020","journal-title":"J. Clin. Med."},{"issue":"4","key":"10.1016\/j.pdpdt.2024.104269_bib0020","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.3390\/cancers15041183","article-title":"AI-Powered Diagnosis of Skin Cancer: a Contemporary Review, Open Challenges and Future Research Directions","volume":"15","author":"Melarkode","year":"2023","journal-title":"Cancers. (Basel)"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2019.101756","article-title":"Skin cancer diagnosis based on optimized convolutional neural network","volume":"102","author":"Zhang","year":"2020","journal-title":"Artif. Intell. Med."},{"issue":"9","key":"10.1016\/j.pdpdt.2024.104269_bib0022","doi-asserted-by":"crossref","first-page":"2315","DOI":"10.3390\/jcm11092315","article-title":"Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures","volume":"11","author":"Courtenay","year":"2022","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2021.102161","article-title":"Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning","volume":"120","author":"Ara\u00fajo","year":"2021","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2022.102252","article-title":"Comment on \u00abFinding Reduced Raman Spectroscopy Fingerprint of Skin Samples for Melanoma Diagnosis through Machine Learning\u00bb","volume":"125","author":"Bratchenko","year":"2022","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0025","article-title":"ASpanFormer: detector-Free Image Matching with","author":"Chen","year":"2022","journal-title":"Adaptive Span Transformer. arXiv."},{"issue":"1","key":"10.1016\/j.pdpdt.2024.104269_bib0026","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1111\/1523-1747.ep12479191","article-title":"The Optics of Human Skin","volume":"77","author":"Anderson","year":"1981","journal-title":"Journal of Investigative Dermatology"},{"issue":"8","key":"10.1016\/j.pdpdt.2024.104269_bib0027","doi-asserted-by":"crossref","first-page":"5107","DOI":"10.1364\/BOE.428143","article-title":"Hyperspectral Imaging and Robust Statistics in Non-Melanoma Skin Cancer Analysis","volume":"12","author":"Courtenay","year":"2021","journal-title":"Biomed. Opt. Express."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0028","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0300400","article-title":"Near-infrared hyperspectral imaging and robust statistics for In vivo non-melanoma skin cancer and actinic keratosis characterisation","author":"Courtenay","year":"2024","journal-title":"PLoS. One"},{"issue":"1","key":"10.1016\/j.pdpdt.2024.104269_bib0029","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1046\/j.1523-1747.2001.00212.x","article-title":"Towards Non-Invasive Screening of Skin Lesions by Near-Infrared Spectroscopy","volume":"116","author":"McIntosh","year":"2001","journal-title":"Journal of Investigative Dermatology"},{"issue":"3","key":"10.1016\/j.pdpdt.2024.104269_bib0030","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13320-024-0719-z","article-title":"Development and Analysis of a Multi-Wavelength Near-Infrared Sensor for Monitoring Skin Hydration and Validation Using Monte Carlo Simulation","volume":"14","author":"Gidado","year":"2024","journal-title":"Photonic Sensors"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0031","series-title":"En Advances in Neural Information Processing Systems. Vol. 20","article-title":"Random Features for Large-Scale Kernel Machines","author":"Rahimi","year":"2007"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0032","series-title":"Proceedings of the 25th Benelux Conference on Artificial Intelligence","first-page":"1","article-title":"The Neural Support Vector Machine","author":"Wiering","year":"2013"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0033","series-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Going deeper with convolutions","author":"Szegedy","year":"2015"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0034","article-title":"Self-Normalizing Neural Networks","volume":"30","author":"Klambauer","year":"2017"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0035","series-title":"En Neural Networks: Tricks of the Trade","first-page":"9","article-title":"Efficient BackProp","author":"LeCun","year":"1998"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0036","series-title":"En Advances in Neural Information Processing Systems. Vol. 4","article-title":"A Simple Weight Decay Can Improve Generalization","author":"Krogh","year":"1991"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0037","series-title":"Advances in Neural Information Processing Systems. Vol. 24","article-title":"Algorithms for Hyper-Parameter Optimization","author":"Bergstra","year":"2011"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0038","series-title":"Advances in Neural Information Processing Systems","article-title":"Practical Bayesian Optimization of Machine Learning Algorithms","author":"Snoek","year":"2012"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0039","series-title":"International Conference on Learning Representations","article-title":"Adam: a Method for Stochastic Optimization","author":"Kingma","year":"2017"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0040","series-title":"2017 IEEE Winter Conference on Applications of Computer Vision (WACV)","first-page":"464","article-title":"Cyclical Learning Rates for Training Neural Networks","author":"Smith","year":"2017"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0041","series-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0042","series-title":"Hands-On Transfer Learning With Python: Implement Advanced Deep Learning and Neural Network Models Using TensorFlow and Keras","author":"Sarkar","year":"2018"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0043","series-title":"Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques","first-page":"242","article-title":"Transfer Learning","author":"Torrey","year":"2010"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0044","series-title":"Imbalanced Learning: Foundations, Algorithms, and Applications","author":"He","year":"2013"},{"issue":"3","key":"10.1016\/j.pdpdt.2024.104269_bib0045","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"The Bell System Technical Journal"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0046","series-title":"En Proceedings of the 15th ACM International Symposium on QoS and Security for Wireless and Mobile Networks","first-page":"11","article-title":"Using AutoEncoders for Radio Signal Denoising","author":"Almazrouei","year":"2019"},{"issue":"17","key":"10.1016\/j.pdpdt.2024.104269_bib0047","doi-asserted-by":"crossref","first-page":"6510","DOI":"10.3390\/s22176510","article-title":"Autoencoder-Based Signal Modulation and Demodulation Methods for Sonobuoy Signal Transmission and Reception","volume":"22","author":"Park","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0048","series-title":"Proceedings of the 25th international conference on Machine learning","first-page":"1096","article-title":"Extracting and composing robust features with denoising autoencoders","author":"Vincent","year":"2008"},{"issue":"10","key":"10.1016\/j.pdpdt.2024.104269_bib0049","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0240328","article-title":"Obtaining New Resolutions in Carnivore Tooth Pit Morphological Analyses: a Methodological Update for Digital Taphonomy","volume":"15","author":"Courtenay","year":"2020","journal-title":"PLoS. One"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0050","article-title":"Generative Adversarial Nets","volume":"27","author":"Goodfellow","year":"2014"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0051","first-page":"6840","article-title":"Denoising Diffusion Probabilistic Models","volume":"33","author":"Ho","year":"2020","journal-title":"En Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0052","series-title":"En Advances in Neural Information Processing Systems","article-title":"Are GANs Created Equal? A Large-Scale Study","author":"Lucic","year":"2018"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0053","series-title":"Step Diffusion Probabilistic Model, International Conference on Learning Representations","first-page":"1","article-title":"Brain Signal Generation and Data Augmentation with a Single","author":"Torma","year":"2022"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0054","unstructured":"Tosato, G., C.M. Dalbagno, and F. Fumagalli. 2023. EEG Synthetic Data Generation Using Probabilistic Diffusion Models. Available online from: https:\/\/arxiv.org\/pdf\/2303.06068 [Accessed: 04\/06\/2024]."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0055","first-page":"21","article-title":"Hyperspectral fluorescence image analysis for use in medical diagnostics","volume":"5692","author":"Kong","year":"2005","journal-title":"SPIE Biomedical Optics"},{"issue":"10","key":"10.1016\/j.pdpdt.2024.104269_bib0056","doi-asserted-by":"crossref","first-page":"790","DOI":"10.3390\/bios12100790","article-title":"Staging of skin cancer based on hyperspectral microscopic imaging and machine learning","volume":"12","author":"Liu","year":"2022","journal-title":"Biosensors"},{"issue":"3","key":"10.1016\/j.pdpdt.2024.104269_bib0057","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.3390\/jcm12031134","article-title":"Classification of skin cancer using novel hyperspectral imaging engineering via YOLOv5","volume":"12","author":"Huang","year":"2023","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.pdpdt.2024.104269_bib0058","doi-asserted-by":"crossref","DOI":"10.1016\/j.pdpdt.2023.103708","article-title":"Combining hyperspectral imaging techniques with deep learning to aid in early pathological diagnosis of melanoma","volume":"43","author":"Tian","year":"2023","journal-title":"Photodiagnosis. Photodyn. Ther."},{"issue":"3","key":"10.1016\/j.pdpdt.2024.104269_bib0059","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1109\/JBHI.2013.2276766","article-title":"Removing batch effects from histopathological images for enhanced cancer diagnosis","volume":"18","author":"Kothari","year":"2014","journal-title":"IEEE Journal of Biomedical Health Informatics"},{"key":"10.1016\/j.pdpdt.2024.104269_bib0060","unstructured":"M. Tancik, P.P. Srinivasan, B. Mildenhall, S. Fridovich-Keil, N. Raghavan, U. Singhal, R. Ramamoorthi, J. Barron, R. Ng. 2020 Fourier features let networks learn high frequency functions in low dimensional domains, 2020. Available online: https:\/\/arxiv.org\/pdf\/2006.10739v1 (accessed on 2 September 2021)."},{"key":"10.1016\/j.pdpdt.2024.104269_bib61","unstructured":"P. Ramachandran, Z. Barret, V. Le. Quoc, Swish: a self-gated activation function. arXiv preprint arXiv:1710.05941 7.1 (2017): 5."}],"container-title":["Photodiagnosis and Photodynamic Therapy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1572100024003065?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1572100024003065?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T22:16:31Z","timestamp":1762553791000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1572100024003065"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":61,"alternative-id":["S1572100024003065"],"URL":"https:\/\/doi.org\/10.1016\/j.pdpdt.2024.104269","relation":{},"ISSN":["1572-1000"],"issn-type":[{"value":"1572-1000","type":"print"}],"subject":[],"published":{"date-parts":[[2024,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Using computational learning for non-melanoma skin cancer and actinic keratosis near-infrared hyperspectral signature classification","name":"articletitle","label":"Article Title"},{"value":"Photodiagnosis and Photodynamic Therapy","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.pdpdt.2024.104269","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"104269"}}