{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T20:00:19Z","timestamp":1779912019451,"version":"3.53.1"},"reference-count":18,"publisher":"Tech Science Press","issue":"2","license":[{"start":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T00:00:00Z","timestamp":1740268800000},"content-version":"vor","delay-in-days":53,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2024.057991","type":"journal-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T02:48:24Z","timestamp":1735786104000},"page":"3281-3307","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Multimodal Brain Tumor Segmentation Algorithm Based on Feature Decoupling and Information Bottleneck Theory"],"prefix":"10.32604","volume":"82","author":[{"given":"Xuemei","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiqi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junping","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","series-title":"Proc. Web Conf. 2020 (WWW\u201920)","first-page":"827","article-title":"Adversarial multimodal representation learning for click-through rate prediction","author":"Li","year":"2020"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"4121","DOI":"10.1109\/TMM.2022.3171679","article-title":"Multimodal information bottleneck: Learning minimal sufficient unimodal and multimodal representations","volume":"25","author":"Mai","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"ref3","first-page":"58","article-title":"Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs","volume":"183","author":"Sun","year":"2017","journal-title":"Mach. Learn. Graph. Anal. Computat. Biomed."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1016\/j.neucom.2017.10.001","article-title":"Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in examinations","volume":"275","author":"Ben-Cohen","year":"2018","journal-title":"Neurocomputing"},{"key":"ref5","first-page":"586","article-title":"Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images","volume":"43","author":"Feng","year":"2023","journal-title":"Biocyber. Biomed. Eng."},{"key":"ref6","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.compbiomed.2024.108120","article-title":"LD-UNet: A long-distance perceptual model for segmentation of blurred boundaries in medical images","volume":"171","author":"Chen","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.107579","article-title":"EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation","volume":"167","author":"Yu","year":"2023, Art. no. 107579","journal-title":"Comput. Biol. Med."},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2020.105395","article-title":"Dense-inception U-Net for medical image segmentation","volume":"192","author":"Zhang","year":"2020, Art. no. 105395","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref9","doi-asserted-by":"crossref","first-page":"2830","DOI":"10.1109\/JBHI.2024.3367756","article-title":"Label-decoupled medical image segmentation with spatial-channel graph convolution and dual attention enhancement","volume":"28","author":"Jiang","year":"2024","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref10","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s13534-023-00341-4","article-title":"CI-UNet: Melding convnext and cross dimensional attention for robust medical image segmentation","volume":"14","author":"Zhang","year":"2024","journal-title":"Biomed. Eng. Lett."},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.107374","article-title":"Attention-guided multi-scale learning network for automatic prostate and tumor segmentation on MRI","volume":"165","author":"Li","year":"2023, Art. no. 107374","journal-title":"Comput. Biol. Med."},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109822","article-title":"Unpaired image super-resolution using a lightweight invertible neural network","volume":"144","author":"Liu","year":"2023, Art. no. 109822","journal-title":"Pattern Recognit."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.eswa.2018.01.055","article-title":"Density weighted connectivity of grass pixels in image frames for biomass estimation","volume":"101","author":"Zhang","year":"2018","journal-title":"Expert. Syst. Appl."},{"key":"ref14","first-page":"65","article-title":"Deep multimodal medical image fusion network based on high and low frequency feature decomposition","volume":"45","author":"Wang","year":"2024","journal-title":"J. Graph."},{"key":"ref15","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/S0020-0255(02)00284-0","article-title":"Digital geometry","volume":"148","author":"Rosenfeld","year":"2002","journal-title":"Inf. Sci."},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108231","article-title":"BiconNet: An edge-preserved connectivity-based approach for salient object detection","volume":"121","author":"Yang","year":"2022, Art. no. 108231","journal-title":"Pattern Recognit."},{"key":"ref17","doi-asserted-by":"crossref","first-page":"2518","DOI":"10.1109\/TIP.2018.2886997","article-title":"ConnNet: A long-range relation-aware pixel-connectivity network for salient segmentation","volume":"28","author":"Kampffmeyer","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"ref18","series-title":"Adv. Neur. Inf. Process. Syst. 23: 24th Annu. Conf. Neural Inf. Process. Syst. 2010","article-title":"Factorized latent spaces with structured sparsity","author":"Jia","year":"2010"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-2\/TSP_CMC_57991\/TSP_CMC_57991.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:10:14Z","timestamp":1763100614000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n2\/59461"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":18,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.057991","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2024-09-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-12-06","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-02-17","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}