{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T05:33:47Z","timestamp":1793856827182,"version":"4.6.1"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Hypotheses"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1016\/j.mehy.2020.109922","type":"journal-article","created":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T11:35:02Z","timestamp":1591270502000},"page":"109922","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":124,"special_numbering":"C","title":["A hybrid image enhancement based brain MRI images classification technique"],"prefix":"10.1016","volume":"143","author":[{"given":"Zahid","family":"Ullah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Umar","family":"Farooq","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Su-Hyun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donghyeok","family":"An","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-61705-9","article-title":"Retrospective motion correction in multishot mri using generative adversarial network","volume":"10","author":"Usman","year":"2020","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0010","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1109\/JSTSP.2008.2011107","article-title":"Advanced segmentation techniques for lung nodules, liver metastases, and enlarged lymph nodes in ct scans","volume":"3","author":"Moltz","year":"2009","journal-title":"IEEE J Selected Topics Signal Process"},{"key":"10.1016\/j.mehy.2020.109922_b0015","doi-asserted-by":"crossref","first-page":"109705","DOI":"10.1016\/j.mehy.2020.109705","article-title":"Texture based localization of a brain tumor from mr-images by using a machine learning approach","author":"Rehman","year":"2020","journal-title":"Med Hypotheses"},{"key":"10.1016\/j.mehy.2020.109922_b0020","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.eswa.2018.10.040","article-title":"Fully automated multi-parametric brain tumour segmentation using superpixel based classification","volume":"118","author":"Rehman","year":"2019","journal-title":"Expert Syst Appl"},{"issue":"10","key":"10.1016\/j.mehy.2020.109922_b0025","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0204155","article-title":"Deep learning in chest radiography: detection of findings and presence of change","volume":"13","author":"Singh","year":"2018","journal-title":"PloS one"},{"issue":"22","key":"10.1016\/j.mehy.2020.109922_b0030","doi-asserted-by":"crossref","first-page":"9393","DOI":"10.1109\/JSEN.2018.2870759","article-title":"Phonocardiographic sensing using deep learning for abnormal heartbeat detection","volume":"18","author":"Latif","year":"2018","journal-title":"IEEE Sensors J"},{"key":"10.1016\/j.mehy.2020.109922_b0035","first-page":"1","article-title":"Using deep autoencoders for facial expression recognition","author":"Usman","year":"2017"},{"key":"10.1016\/j.mehy.2020.109922_b0040","series-title":"2018 International Conference on Frontiers of Information Technology (FIT)","first-page":"88","article-title":"Cross lingual speech emotion recognition: Urdu vs. western languages","author":"Latif","year":"2018"},{"key":"10.1016\/j.mehy.2020.109922_b0045","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/j.eswa.2018.12.008","article-title":"Multi-parametric optic disc segmentation using superpixel based feature classification","volume":"120","author":"Rehman","year":"2019","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.mehy.2020.109922_b0050","first-page":"261","article-title":"Mobile technologies for managing non-communicable diseases in developing countries","author":"Latif","year":"2018"},{"key":"10.1016\/j.mehy.2020.109922_b0055","doi-asserted-by":"crossref","unstructured":"Usman M, Lee B-D, Byon SS, Kim, SH, IlLee B, Volumetric lung nodule segmentation using adaptive roi with multi-view residual learning, arXiv preprint arXiv:1912.13335; 2019.","DOI":"10.1038\/s41598-020-69817-y"},{"key":"10.1016\/j.mehy.2020.109922_b0060","unstructured":"Latif S, Asim M, Usman M, Qadir J, Rana R, Automating motion correction in multishot mri using generative adversarial networks, arXiv preprint arXiv:1811.09750; 2018."},{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0065","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1593\/tlo.11232","article-title":"Measurement of tumor volumes improves recist-based response assessments in advanced lung cancer","volume":"5","author":"Mozley","year":"2012","journal-title":"Transl Oncol"},{"key":"10.1016\/j.mehy.2020.109922_b0070","first-page":"4054","article-title":"Research of image denoising method about wavelet transform with neighborhood average","volume":"vol. 989","author":"Huang","year":"2014"},{"issue":"6","key":"10.1016\/j.mehy.2020.109922_b0075","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1002\/jemt.23224","article-title":"Feature enhancement framework for brain tumor segmentation and classification","volume":"82","author":"Tahir","year":"2019","journal-title":"Microscopy Res Tech"},{"key":"10.1016\/j.mehy.2020.109922_b0080","article-title":"A five-level wavelet decomposition and dimensional reduction approach for feature extraction and classification of mr and ct scan images","volume":"2017","author":"Srivastava","year":"2017","journal-title":"Appl Comput Intell Soft Comput"},{"key":"10.1016\/j.mehy.2020.109922_b0085","doi-asserted-by":"crossref","DOI":"10.1155\/2017\/4205141","article-title":"Pathological brain detection using weiner filtering, 2d-discrete wavelet transform, probabilistic pca, and random subspace ensemble classifier","volume":"2017","author":"Jha","year":"2017","journal-title":"Comput Intell Neurosci"},{"issue":"2","key":"10.1016\/j.mehy.2020.109922_b0090","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1002\/ima.22265","article-title":"Computational intelligence techniques for human brain mri classification","volume":"28","author":"El-Dahshan","year":"2018","journal-title":"Int J Imaging Syst Technol"},{"issue":"3","key":"10.1016\/j.mehy.2020.109922_b0095","doi-asserted-by":"crossref","first-page":"812","DOI":"10.1016\/j.jconrel.2013.10.019","article-title":"Multimodal imaging enables early detection and characterization of changes in tumor permeability of brain metastases","volume":"172","author":"Thorsen","year":"2013","journal-title":"J Controlled Release"},{"key":"10.1016\/j.mehy.2020.109922_b0100","first-page":"314","article-title":"Brain tumor classification via convolutional neural network and extreme learning machines","author":"Pashaei","year":"2018"},{"issue":"10","key":"10.1016\/j.mehy.2020.109922_b0105","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0140381","article-title":"Enhanced performance of brain tumor classification via tumor region augmentation and partition","volume":"10","author":"Cheng","year":"2015","journal-title":"PloS one"},{"key":"10.1016\/j.mehy.2020.109922_b0110","first-page":"565","article-title":"Alzheimer disease classification based on tsvm and kernel svm","author":"Alam","year":"2017"},{"issue":"3","key":"10.1016\/j.mehy.2020.109922_b0115","doi-asserted-by":"crossref","first-page":"3833","DOI":"10.1007\/s11042-016-4171-y","article-title":"Pathological brain detection using curvelet features and least squares svm","volume":"77","author":"Nayak","year":"2018","journal-title":"Multimedia Tools Appl"},{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0120","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.bspc.2006.05.002","article-title":"Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network","volume":"1","author":"Chaplot","year":"2006","journal-title":"Biomed Signal Process Control"},{"key":"10.1016\/j.mehy.2020.109922_b0125","doi-asserted-by":"crossref","DOI":"10.1155\/2019\/4625371","article-title":"Segmentation of brain mr images by using fully convolutional network and gaussian mixture model with spatial constraints","volume":"2019","author":"Lai","year":"2019","journal-title":"Math Problems Eng"},{"key":"10.1016\/j.mehy.2020.109922_b0130","article-title":"Round randomized learning vector quantization for brain tumor imaging","volume":"2016","author":"Abdullah","year":"2016","journal-title":"Comput Math Methods Med"},{"key":"10.1016\/j.mehy.2020.109922_b0135","doi-asserted-by":"crossref","DOI":"10.1155\/2017\/9749108","article-title":"Image analysis for mri based brain tumor detection and feature extraction using biologically inspired bwt and svm","volume":"2017","author":"Bahadure","year":"2017","journal-title":"Int J Biomed Imaging"},{"issue":"3","key":"10.1016\/j.mehy.2020.109922_b0140","first-page":"1127","article-title":"A simple and intelligent approach for brain mri classification","volume":"28","author":"Nazir","year":"2015","journal-title":"J Intell Fuzzy Syst"},{"issue":"2","key":"10.1016\/j.mehy.2020.109922_b0145","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/ima.22132","article-title":"Feed-forward neural network optimized by hybridization of pso and abc for abnormal brain detection","volume":"25","author":"Wang","year":"2015","journal-title":"Int J Imaging Syst Technol"},{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0150","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1197\/jamia.M2273","article-title":"Toward a national framework for the secondary use of health data: an american medical informatics association white paper","volume":"14","author":"Safran","year":"2007","journal-title":"J Am Med Inform Assoc"},{"issue":"3","key":"10.1016\/j.mehy.2020.109922_b0155","first-page":"355","article-title":"Sm pizer, ep amburn, jd austin, r. cromartie, a. geselowitz, th. h. greer, bh romeny, jb zimmerman, k. zuiderveld","volume":"39","author":"Equalization","year":"1987","journal-title":"Computer Vision, Graphics Image Process"},{"key":"10.1016\/j.mehy.2020.109922_b0160","series-title":"Proceedings of the World congress on Engineering and Computer Science","first-page":"22","article-title":"\u201dImage enhancement for fingerprint minutiae-based algorithms using clahe, standard deviation analysis and sliding neighborhood,\u201d in","author":"Sepasian","year":"2008"},{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0165","first-page":"32","article-title":"An adaptive foggy image enhancement algorithm based on fuzzy theory and clahe","volume":"29","author":"Wang","year":"2012","journal-title":"Microelectron. Comput."},{"key":"10.1016\/j.mehy.2020.109922_b0170","first-page":"474","article-title":"Contrast limited adaptive histogram equalization","author":"Zuiderveld","year":"1994"},{"issue":"2","key":"10.1016\/j.mehy.2020.109922_b0175","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.jfranklin.2008.08.006","article-title":"Shift-invariance of short-time fourier transform in fractional fourier domains","volume":"346","author":"Durak","year":"2009","journal-title":"J Franklin Inst"},{"key":"10.1016\/j.mehy.2020.109922_b0180","series-title":"A wavelet tour of signal processing","author":"Mallat","year":"1999"},{"issue":"4","key":"10.1016\/j.mehy.2020.109922_b0185","doi-asserted-by":"crossref","first-page":"1108","DOI":"10.1016\/j.talanta.2010.08.008","article-title":"Peak alignment using wavelet pattern matching and differential evolution","volume":"83","author":"Zhang","year":"2011","journal-title":"Talanta"},{"issue":"2","key":"10.1016\/j.mehy.2020.109922_b0190","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5121\/ijdkp.2015.5201","article-title":"A review on evaluation metrics for data classification evaluations","volume":"5","author":"Hossin","year":"2015","journal-title":"Int J Data Mining Knowl Manage Process"},{"issue":"1","key":"10.1016\/j.mehy.2020.109922_b0195","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.dsp.2007.05.006","article-title":"Computer aided diagnosis of ecg data on the least square support vector machine","volume":"18","author":"Polat","year":"2008","journal-title":"Digital Signal Process"},{"issue":"5","key":"10.1016\/j.mehy.2020.109922_b0200","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.medengphy.2007.06.009","article-title":"Hybrid multiresolution slantlet transform and fuzzy c-means clustering approach for normal-pathological brain mr image segregation","volume":"30","author":"Maitra","year":"2008","journal-title":"Med Eng Phys"}],"container-title":["Medical Hypotheses"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306987720308689?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306987720308689?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T19:27:03Z","timestamp":1759692423000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306987720308689"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":40,"alternative-id":["S0306987720308689"],"URL":"https:\/\/doi.org\/10.1016\/j.mehy.2020.109922","relation":{},"ISSN":["0306-9877"],"issn-type":[{"value":"0306-9877","type":"print"}],"subject":[],"published":{"date-parts":[[2020,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A hybrid image enhancement based brain MRI images classification technique","name":"articletitle","label":"Article Title"},{"value":"Medical Hypotheses","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mehy.2020.109922","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"109922"}}