乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T04:30:06Z","timestamp":1728534606640},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Standards & Interfaces"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1016\/j.csi.2024.103889","type":"journal-article","created":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T09:50:29Z","timestamp":1720950629000},"page":"103889","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Advancing histopathology in Health 4.0: Enhanced cell nuclei detection using deep learning and analytic classifiers"],"prefix":"10.1016","volume":"91","author":[{"ORCID":"http:\/\/orcid.org\/0009-0003-5614-9672","authenticated-orcid":false,"given":"S.","family":"Pons","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2603-5549","authenticated-orcid":false,"given":"E.","family":"Dura","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4728-6256","authenticated-orcid":false,"given":"J.","family":"Domingo","sequence":"additional","affiliation":[]},{"given":"S.","family":"Martin","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.csi.2024.103889_b1","series-title":"Computer Vision \u2013 ECCV 2022 Workshops","first-page":"552","article-title":"Variability matters: Evaluating inter-rater variability in histopathology for robust cell detection","author":"Kang","year":"2023"},{"issue":"1","key":"10.1016\/j.csi.2024.103889_b2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11831-019-09366-4","article-title":"Computational nuclei segmentation methods in digital pathology: A survey","volume":"28","author":"Hayakawa","year":"2021","journal-title":"Arch. Comput. Methods Eng."},{"key":"10.1016\/j.csi.2024.103889_b3","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.artmed.2018.10.004","article-title":"Computational normalization of H&E-stained histological images: Progress, challenges and future potential","volume":"95","author":"Azevedo Tosta","year":"2019","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.csi.2024.103889_b4","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.micron.2018.07.005","article-title":"A study about color normalization methods for histopathology images","volume":"114","author":"Roy","year":"2018","journal-title":"Micron"},{"issue":"5","key":"10.1016\/j.csi.2024.103889_b5","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1007\/s10278-019-00295-z","article-title":"Computer-aided histopathological image analysis techniques for automated nuclear atypia scoring of breast cancer: a review","volume":"33","author":"Das","year":"2020","journal-title":"J. Dig. Imag."},{"issue":"1","key":"10.1016\/j.csi.2024.103889_b6","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1186\/s13000-021-01126-y","article-title":"Normalization of HE-stained histological images using cycle consistent generative adversarial networks","volume":"16","author":"Runz","year":"2021","journal-title":"Diagnost. Pathol."},{"issue":"1","key":"10.1016\/j.csi.2024.103889_b7","doi-asserted-by":"crossref","first-page":"11579","DOI":"10.1038\/s41598-021-90444-8","article-title":"A generalized deep learning framework for whole-slide image segmentation and analysis","volume":"11","author":"Khened","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.csi.2024.103889_b8","series-title":"2023 IEEE\/CVF International Conference on Computer Vision","first-page":"21327","article-title":"Affine-consistent transformer for multi-class cell nuclei detection","author":"Huang","year":"2023"},{"issue":"1","key":"10.1016\/j.csi.2024.103889_b9","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s12530-023-09491-3","article-title":"A survey on recent trends in deep learning for nucleus segmentation from histopathology images","volume":"15","author":"Basu","year":"2024","journal-title":"Evol. Syst."},{"key":"10.1016\/j.csi.2024.103889_b10","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.media.2016.11.004","article-title":"DCAN: Deep contour-aware networks for object instance segmentation from histology images","volume":"36","author":"Chen","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.csi.2024.103889_b11","series-title":"2019 IEEE 31st International Conference on Tools with Artificial Intelligence","first-page":"886","article-title":"Object detection boosting using object attributes in detect and describe framework","author":"Khan","year":"2019"},{"issue":"2","key":"10.1016\/j.csi.2024.103889_b12","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1007\/s11263-019-01228-7","article-title":"Grad-CAM: Visual explanations from deep networks via gradient-based localization","volume":"128","author":"Selvaraju","year":"2020","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"10.1016\/j.csi.2024.103889_b13","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1186\/s12859-018-2184-4","article-title":"Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction","volume":"19","author":"Faust","year":"2018","journal-title":"BMC Bioinformat."},{"key":"10.1016\/j.csi.2024.103889_b14","series-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8827","article-title":"Interpretable convolutional neural networks","author":"Zhang","year":"2018"},{"key":"10.1016\/j.csi.2024.103889_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2020.101816","article-title":"Selective synthetic augmentation with histogan for improved histopathology image classification","volume":"67","author":"Xue","year":"2021","journal-title":"Med. Image Anal."},{"issue":"8","key":"10.1016\/j.csi.2024.103889_b16","doi-asserted-by":"crossref","first-page":"2751","DOI":"10.1007\/s00371-021-02153-y","article-title":"Transfer learning-assisted multi-resolution breast cancer histopathological images classification","volume":"38","author":"Ahmad","year":"2022","journal-title":"Vis. Comput."},{"issue":"5","key":"10.1016\/j.csi.2024.103889_b17","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1109\/TMI.2016.2525803","article-title":"Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images","volume":"35","author":"Sirinukunwattana","year":"2016","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.csi.2024.103889_b18","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1109\/TMI.2018.2865709","article-title":"Segmentation of nuclei in histopathology images by deep regression of the distance map","volume":"38","author":"Naylor","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"year":"2020","series-title":"ultralytics\/yolov5: v3.1 - Bug Fixes and Performance Improvements","author":"Jocher","key":"10.1016\/j.csi.2024.103889_b19"},{"issue":"2","key":"10.1016\/j.csi.2024.103889_b20","doi-asserted-by":"crossref","DOI":"10.3390\/info11020125","article-title":"Albumentations: Fast and flexible image augmentations","volume":"11","author":"Buslaev","year":"2020","journal-title":"Information"},{"year":"2016","series-title":"Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images","author":"Sirinukunwattana","key":"10.1016\/j.csi.2024.103889_b21"},{"year":"2018","series-title":"Segmentation of nuclei in histopathology images by deep regression of the distance map","author":"Jack","key":"10.1016\/j.csi.2024.103889_b22"},{"key":"10.1016\/j.csi.2024.103889_b23","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"Redmon","year":"2016"},{"year":"2020","series-title":"Ultralytics\/yolov5: v3.1 - bug fixes and performance improvements","author":"Jocher","key":"10.1016\/j.csi.2024.103889_b24"},{"year":"2013","series-title":"Perceptual Metrics for Image Database Navigation","author":"Rubner","key":"10.1016\/j.csi.2024.103889_b25"},{"issue":"2","key":"10.1016\/j.csi.2024.103889_b26","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/BF00204594","article-title":"Gabor filters as texture discriminator","volume":"61","author":"Fogel","year":"1989","journal-title":"Biol. Cybernet."},{"issue":"4","key":"10.1016\/j.csi.2024.103889_b27","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1109\/TASSP.1985.1164641","article-title":"Classification of textures using Gaussian Markov random fields","volume":"33","author":"Chellappa","year":"1985","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"year":"2002","series-title":"Morphological Image Analysis","author":"Soille","key":"10.1016\/j.csi.2024.103889_b28"},{"issue":"12","key":"10.1016\/j.csi.2024.103889_b29","doi-asserted-by":"crossref","first-page":"1430","DOI":"10.1109\/34.977566","article-title":"Spatial size distributions: Applications to shape and texture analysis","volume":"23","author":"Ayala","year":"2001","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Computer Standards & Interfaces"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0920548924000588?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0920548924000588?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T15:39:20Z","timestamp":1728488360000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0920548924000588"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":29,"alternative-id":["S0920548924000588"],"URL":"https:\/\/doi.org\/10.1016\/j.csi.2024.103889","relation":{},"ISSN":["0920-5489"],"issn-type":[{"type":"print","value":"0920-5489"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Advancing histopathology in Health 4.0: Enhanced cell nuclei detection using deep learning and analytic classifiers","name":"articletitle","label":"Article Title"},{"value":"Computer Standards & Interfaces","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csi.2024.103889","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":"103889"}}