{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T17:06:30Z","timestamp":1764954390825,"version":"3.46.0"},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1016\/j.engappai.2025.112772","type":"journal-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T01:30:55Z","timestamp":1761355855000},"page":"112772","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P2","title":["A novel lightweight multi-path learning with explainable artificial intelligence technique based on ovarian cancer detection framework"],"prefix":"10.1016","volume":"163","author":[{"given":"S.","family":"Padmalal","sequence":"first","affiliation":[]},{"given":"C.","family":"Nelson Kennedy Babu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.engappai.2025.112772_bib1","doi-asserted-by":"crossref","first-page":"1058","DOI":"10.3390\/cancers15041058","article-title":"A novel approach for estimating ovarian cancer tissue heterogeneity through the application of image processing techniques and artificial intelligence","volume":"15","author":"Binas","year":"2023","journal-title":"Cancers"},{"issue":"1","key":"10.1016\/j.engappai.2025.112772_bib2","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/s41747-023-00388-z","article-title":"Deep learning-based segmentation of multisite disease in ovarian cancer","volume":"7","author":"Buddenkotte","year":"2023","journal-title":"European radiology experimental"},{"issue":"3","key":"10.1016\/j.engappai.2025.112772_bib3","doi-asserted-by":"crossref","first-page":"e176","DOI":"10.1016\/S2589-7500(23)00245-5","article-title":"Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study","volume":"6","author":"Cai","year":"2024","journal-title":"Lancet Digit. Health"},{"key":"10.1016\/j.engappai.2025.112772_bib4","series-title":"2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","first-page":"1","article-title":"Deepovanet: a comprehensive deep learning framework for predicting and diagnosing ovarian cancer in women across menopausal transitions","author":"Das","year":"2024"},{"issue":"3","key":"10.1016\/j.engappai.2025.112772_bib5","first-page":"22","article-title":"A comparative analysis and prediction of ovarian cancer using AI approach","volume":"3","author":"Das","year":"2023","journal-title":"Advancement in Management and Technology (AMT)"},{"issue":"1","key":"10.1016\/j.engappai.2025.112772_bib6","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-024-75830-2","article-title":"A deep learning approach for ovarian cancer detection and classification based on fuzzy deep learning","volume":"14","author":"El-Latif","year":"2024","journal-title":"Sci. Rep."},{"issue":"3","key":"10.1016\/j.engappai.2025.112772_bib7","doi-asserted-by":"crossref","first-page":"e179","DOI":"10.1016\/S2589-7500(21)00278-8","article-title":"Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study","volume":"4","author":"Gao","year":"2022","journal-title":"Lancet Digit. Health"},{"issue":"4","key":"10.1016\/j.engappai.2025.112772_bib8","doi-asserted-by":"crossref","first-page":"643","DOI":"10.3390\/sym13040643","article-title":"Multi-modal evolutionary deep learning model for ovarian cancer diagnosis","volume":"13","author":"Ghoniem","year":"2021","journal-title":"Symmetry"},{"issue":"1","key":"10.1016\/j.engappai.2025.112772_bib9","doi-asserted-by":"crossref","DOI":"10.1155\/2022\/5968939","article-title":"Region\u2010based segmentation and classification for ovarian cancer detection using convolution neural network","volume":"2022","author":"Hema","year":"2022","journal-title":"Contrast Media Mol. Imaging"},{"issue":"1","key":"10.1016\/j.engappai.2025.112772_bib10","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1186\/s12911-022-02047-6","article-title":"Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging","volume":"22","author":"Hsu","year":"2022","journal-title":"BMC Med. Inf. Decis. Making"},{"issue":"5","key":"10.1016\/j.engappai.2025.112772_bib11","doi-asserted-by":"crossref","first-page":"543","DOI":"10.3390\/diagnostics14050543","article-title":"An empirical evaluation of a novel ensemble deep neural network model and explainable AI for accurate segmentation and classification of ovarian tumors using CT images","volume":"14","author":"Kodipalli","year":"2024","journal-title":"Diagnostics"},{"issue":"12","key":"10.1016\/j.engappai.2025.112772_bib12","doi-asserted-by":"crossref","first-page":"2078","DOI":"10.3390\/diagnostics13122078","article-title":"Advantages and limitations of ultrasound as a screening test for ovarian cancer","volume":"13","author":"Koutras","year":"2023","journal-title":"Diagnostics"},{"issue":"14","key":"10.1016\/j.engappai.2025.112772_bib13","doi-asserted-by":"crossref","first-page":"3447","DOI":"10.3390\/cancers14143447","article-title":"Factors predicting surgical effort using explainable artificial intelligence in advanced stage epithelial ovarian cancer","volume":"14","author":"Laios","year":"2022","journal-title":"Cancers"},{"issue":"1","key":"10.1016\/j.engappai.2025.112772_bib14","article-title":"A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy","volume":"15","author":"Ma","year":"2025","journal-title":"Sci. Rep."},{"issue":"6","key":"10.1016\/j.engappai.2025.112772_bib15","doi-asserted-by":"crossref","first-page":"3070","DOI":"10.3390\/app15063070","article-title":"A convolutional neural network tool for early diagnosis and precision surgery in endometriosis-associated ovarian cancer","volume":"15","author":"Macis","year":"2025","journal-title":"Appl. Sci."},{"issue":"9","key":"10.1016\/j.engappai.2025.112772_bib16","article-title":"Feline wolf net: a hybrid lion-grey wolf optimization deep learning model for ovarian cancer detection","volume":"14","author":"Mukhedkar","year":"2023","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"10.1016\/j.engappai.2025.112772_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.imu.2024.101553","article-title":"An ml-based decision support system for reliable diagnosis of ovarian cancer by leveraging explainable ai","volume":"49","author":"Newaz","year":"2024","journal-title":"Inform. Med. Unlocked"},{"key":"10.1016\/j.engappai.2025.112772_bib18","first-page":"550","article-title":"Transferable and interpretable treatment effectiveness prediction for ovarian cancer via multimodal deep learning","volume":"2023","author":"Nguyen","year":"2024","journal-title":"AMIA Annual Symposium Proceedings"},{"issue":"2","key":"10.1016\/j.engappai.2025.112772_bib19","article-title":"Ovarian tumors detection and classification from ultrasound images based on YOLOv8","volume":"15","author":"Pham","year":"2024","journal-title":"J. Adv. Inf. Technol."},{"issue":"4","key":"10.1016\/j.engappai.2025.112772_bib20","doi-asserted-by":"crossref","first-page":"987","DOI":"10.3390\/cancers14040987","article-title":"Diagnosing ovarian cancer on MRI: a preliminary study comparing deep learning and radiologist assessments","volume":"14","author":"Saida","year":"2022","journal-title":"Cancers"},{"key":"10.1016\/j.engappai.2025.112772_bib21","series-title":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","first-page":"1","article-title":"Ovary cancer diagnosing empowered with machine learning","author":"Taleb","year":"2022"},{"issue":"7","key":"10.1016\/j.engappai.2025.112772_bib22","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.3390\/cancers14071651","article-title":"A weakly supervised deep learning method for guiding ovarian cancer treatment and identifying an effective biomarker","volume":"14","author":"Wang","year":"2022","journal-title":"Cancers"},{"key":"10.1016\/j.engappai.2025.112772_bib23","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2022.104001","article-title":"Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis","volume":"79","author":"Xiao","year":"2022","journal-title":"EBioMedicine"},{"issue":"19","key":"10.1016\/j.engappai.2025.112772_bib24","doi-asserted-by":"crossref","DOI":"10.3390\/ijms231912041","article-title":"Molecular biomarkers for the early detection of ovarian cancer","volume":"23","author":"Zhang","year":"2022","journal-title":"Int. J. Mol. Sci."},{"issue":"10","key":"10.1016\/j.engappai.2025.112772_bib25","doi-asserted-by":"crossref","first-page":"1703","DOI":"10.3390\/diagnostics13101703","article-title":"A deep learning framework for the prediction and diagnosis of ovarian cancer in pre-and post-menopausal women","volume":"13","author":"Ziyambe","year":"2023","journal-title":"Diagnostics"}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197625028039?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197625028039?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T17:01:35Z","timestamp":1764954095000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197625028039"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":25,"alternative-id":["S0952197625028039"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2025.112772","relation":{},"ISSN":["0952-1976"],"issn-type":[{"type":"print","value":"0952-1976"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A novel lightweight multi-path learning with explainable artificial intelligence technique based on ovarian cancer detection framework","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2025.112772","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112772"}}