{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T04:02:25Z","timestamp":1729742545054,"version":"3.28.0"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"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":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1016\/j.bspc.2023.105126","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T21:24:20Z","timestamp":1687814660000},"page":"105126","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"PA","title":["Hepatocellular carcinoma histopathological images grading with a novel attention-sharing hybrid network based on multi-feature fusion"],"prefix":"10.1016","volume":"86","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2263-6523","authenticated-orcid":false,"given":"Jinhua","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Song","family":"Qiu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5063-8801","authenticated-orcid":false,"given":"Qingli","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chenhao","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Zhiqiu","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jialei","family":"Weng","sequence":"additional","affiliation":[]},{"given":"Xia","family":"Sheng","sequence":"additional","affiliation":[]},{"given":"Qiongzhu","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Ning","family":"Ren","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.bspc.2023.105126_b1","first-page":"209","article-title":"Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA: Cancer J. Clin."},{"key":"10.1016\/j.bspc.2023.105126_b2","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/s11894-008-0010-2","article-title":"Early detection of liver cancer: diagnosis and management","volume":"10","author":"Volk","year":"2008","journal-title":"Curr. Gastroenterol. Rep."},{"key":"10.1016\/j.bspc.2023.105126_b3","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1002\/1097-0142(195405)7:3<462::AID-CNCR2820070308>3.0.CO;2-E","article-title":"Primary carcinoma of the liver: A study of 100 cases among 48,900 necropsies","volume":"7","author":"Edmondson","year":"1954","journal-title":"Cancer"},{"key":"10.1016\/j.bspc.2023.105126_b4","doi-asserted-by":"crossref","first-page":"193","DOI":"10.3389\/fmed.2017.00193","article-title":"Histological grading of hepatocellular carcinoma-A systematic review of literature","volume":"4","author":"Martins-Filho","year":"2017","journal-title":"Front. Med. China"},{"issue":"4","key":"10.1016\/j.bspc.2023.105126_b5","first-page":"23","article-title":"Histopathological image analysis using image processing techniques: An overview","volume":"3","author":"Belsare","year":"2012","journal-title":"Signal Image Process."},{"key":"10.1016\/j.bspc.2023.105126_b6","series-title":"Tencon 2015-2015 IEEE Region 10 Conference","first-page":"1","article-title":"Classification of breast cancer histopathology images using texture feature analysis","author":"Belsare","year":"2015"},{"issue":"4\u20135","key":"10.1016\/j.bspc.2023.105126_b7","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.compmedimag.2007.02.002","article-title":"Computer-aided diagnosis in medical imaging: historical review, current status and future potential","volume":"31","author":"Doi","year":"2007","journal-title":"Comput. Med. Imaging Graph."},{"issue":"9","key":"10.1016\/j.bspc.2023.105126_b8","first-page":"2508","article-title":"Survey of convolutional neural network","volume":"36","author":"Li","year":"2016","journal-title":"J. Comput. Appl."},{"key":"10.1016\/j.bspc.2023.105126_b9","series-title":"2017 International Conference on Engineering and Technology","first-page":"1","article-title":"Understanding of a convolutional neural network","author":"Albawi","year":"2017"},{"issue":"1","key":"10.1016\/j.bspc.2023.105126_b10","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1007\/s11227-020-03321-y","article-title":"A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model","volume":"77","author":"Bur\u00e7ak","year":"2021","journal-title":"J. Supercomput."},{"key":"10.1016\/j.bspc.2023.105126_b11","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"},{"key":"10.1016\/j.bspc.2023.105126_b12","doi-asserted-by":"crossref","DOI":"10.1038\/srep26286","article-title":"Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis","volume":"6","author":"Litjens","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bspc.2023.105126_b13","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2424","article-title":"Patch-based convolutional neural network for whole slide tissue image classification","author":"Hou","year":"2016"},{"key":"10.1016\/j.bspc.2023.105126_b14","series-title":"Image and Video Processing","article-title":"Context-aware convolutional neural network for grading of colorectal cancer histology images","author":"Shaban","year":"2019"},{"key":"10.1016\/j.bspc.2023.105126_b15","doi-asserted-by":"crossref","first-page":"1643","DOI":"10.1109\/JBHI.2019.2949837","article-title":"Deep learning-based classification of liver cancer histopathology images using only global labels","volume":"24","author":"Sun","year":"2020","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.bspc.2023.105126_b16","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1053\/j.gastro.2016.11.048","article-title":"Liver cancer cell of origin, molecular class, and effects on patient prognosis","volume":"152","author":"Sia","year":"2017","journal-title":"Gastroenterology"},{"key":"10.1016\/j.bspc.2023.105126_b17","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"Learning"},{"year":"2021","series-title":"A survey of visual transformers","author":"Liu","key":"10.1016\/j.bspc.2023.105126_b18"},{"key":"10.1016\/j.bspc.2023.105126_b19","series-title":"2021 IEEE International Conference on Bioinformatics and Biomedicine","first-page":"1235","article-title":"DCET-net: Dual-stream convolution expanded transformer for breast cancer histopathological image classification","author":"Zou","year":"2021"},{"key":"10.1016\/j.bspc.2023.105126_b20","series-title":"Computer Vision and Pattern Recognition","article-title":"Swin transformer: Hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"key":"10.1016\/j.bspc.2023.105126_b21","series-title":"Computer Vision and Pattern Recognition","article-title":"Pyramid vision transformer: A versatile backbone for dense prediction without convolutions","author":"Wang","year":"2021"},{"key":"10.1016\/j.bspc.2023.105126_b22","series-title":"Computer Vision and Pattern Recognition","article-title":"VOLO: Vision outlooker for visual recognition","author":"Yuan","year":"2021"},{"key":"10.1016\/j.bspc.2023.105126_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2022.103833","article-title":"A dual stage AlexNet-HHO-DrpXLM archetype for an effective feature extraction, classification and prediction of liver cancer based on histopathology images","volume":"77","author":"Sabitha","year":"2022","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.bspc.2023.105126_b24","doi-asserted-by":"crossref","DOI":"10.1109\/JBHI.2022.3187765","article-title":"A deep learning method for breast cancer classification in the pathology images","author":"Liu","year":"2022","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.bspc.2023.105126_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117695","article-title":"Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning","author":"Talukder","year":"2022","journal-title":"Expert Syst. Appl."},{"year":"2019","series-title":"Lung and colon cancer histopathological image dataset (lc25000)","author":"Borkowski","key":"10.1016\/j.bspc.2023.105126_b26"},{"issue":"7","key":"10.1016\/j.bspc.2023.105126_b27","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1109\/TBME.2015.2496264","article-title":"A dataset for breast cancer histopathological image classification","volume":"63","author":"Spanhol","year":"2015","journal-title":"Ieee Trans. Biomed. Eng."},{"key":"10.1016\/j.bspc.2023.105126_b28","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4700","article-title":"Densely connected convolutional networks","author":"Huang","year":"2017"},{"key":"10.1016\/j.bspc.2023.105126_b29","article-title":"A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images","author":"Dabass","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.bspc.2023.105126_b30","series-title":"Computer Vision and Pattern Recognition","article-title":"Deep residual learning for image recognition","author":"He","year":"2015"},{"key":"10.1016\/j.bspc.2023.105126_b31","series-title":"International Conference on Machine Learning","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019"},{"issue":"10","key":"10.1016\/j.bspc.2023.105126_b32","doi-asserted-by":"crossref","first-page":"21","DOI":"10.14445\/22312803\/IJCTT-V68I10P104","article-title":"Lung cancer detection using convolutional neural network on histopathological images","volume":"68","author":"Hatuwal","year":"2020","journal-title":"Int. J. Comput. Trends Technol."},{"year":"2020","series-title":"Convolution neural networks for diagnosing colon and lung cancer histopathological images","author":"Mangal","key":"10.1016\/j.bspc.2023.105126_b33"},{"key":"10.1016\/j.bspc.2023.105126_b34","series-title":"Innovation in Electrical Power Engineering, Communication, and Computing Technology","first-page":"427","article-title":"Analysis of lung cancer by using deep neural network","author":"Shandilya","year":"2022"},{"key":"10.1016\/j.bspc.2023.105126_b35","doi-asserted-by":"crossref","first-page":"208969","DOI":"10.1109\/ACCESS.2020.3038764","article-title":"Identification of colon cancer using multi-scale feature fusion convolutional neural network based on shearlet transform","volume":"8","author":"Liang","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.bspc.2023.105126_b36","series-title":"International Conference of Reliable Information and Communication Technology","first-page":"19","article-title":"Convolutional neural networks for automatic detection of colon adenocarcinoma based on histopathological images","author":"Qasim","year":"2020"},{"key":"10.1016\/j.bspc.2023.105126_b37","article-title":"Deep learning predictive model for colon cancer patient using CNN-based classification","volume":"12","author":"Tasnim","year":"2021","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"issue":"1","key":"10.1016\/j.bspc.2023.105126_b38","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1002\/ima.22623","article-title":"Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET","volume":"32","author":"Yildirim","year":"2022","journal-title":"Int. J. Imaging Syst. Technol."},{"issue":"5","key":"10.1016\/j.bspc.2023.105126_b39","article-title":"Supervised learning-based cancer detection","volume":"12","author":"Sikder","year":"2021","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"issue":"3","key":"10.1016\/j.bspc.2023.105126_b40","doi-asserted-by":"crossref","first-page":"748","DOI":"10.3390\/s21030748","article-title":"A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework","volume":"21","author":"Masud","year":"2021","journal-title":"Sensors"},{"issue":"4","key":"10.1016\/j.bspc.2023.105126_b41","doi-asserted-by":"crossref","first-page":"2075","DOI":"10.1002\/ima.22569","article-title":"DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images","volume":"31","author":"Adu","year":"2021","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"10.1016\/j.bspc.2023.105126_b42","series-title":"2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis","first-page":"348","article-title":"Deep learning model based breast cancer histopathological image classification","author":"Wei","year":"2017"},{"key":"10.1016\/j.bspc.2023.105126_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2022.105437","article-title":"DRDA-net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images","volume":"145","author":"Chattopadhyay","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.bspc.2023.105126_b44","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2022.104007","article-title":"Breast cancer histopathology image classification based on dual-stream high-order network","volume":"78","author":"Zou","year":"2022","journal-title":"Biomed. Signal Process. Control"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809423005591?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809423005591?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T03:16:46Z","timestamp":1729653406000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809423005591"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":44,"alternative-id":["S1746809423005591"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2023.105126","relation":{},"ISSN":["1746-8094"],"issn-type":[{"type":"print","value":"1746-8094"}],"subject":[],"published":{"date-parts":[[2023,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Hepatocellular carcinoma histopathological images grading with a novel attention-sharing hybrid network based on multi-feature fusion","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2023.105126","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"105126"}}