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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

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發(fā)表于 2025-3-21 17:26:30 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
副標題26th International C
編輯Hayit Greenspan,Anant Madabhushi,Russell Taylor
視頻videohttp://file.papertrans.cn/630/629224/629224.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay
描述.The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. ..The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections:..Part I: Machine learning with limited supervision and machine learning – transfer learning;..Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; ..Part III: Machine learning – explainability, bias and uncertainty; image segmentation; ..Part IV: Image segmentation; ..Part V: Computer-aided diagnosis; ..Part VI: Computer-aided diagnosis; computational pathology; .Part VII: Clinical applications – abdomen; clinicalapplications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applicatio
出版日期Conference proceedings 2023
關鍵詞applied computing; life and medical sciences; computational biology; computer vision; computing methodol
版次1
doihttps://doi.org/10.1007/978-3-031-43987-2
isbn_softcover978-3-031-43986-5
isbn_ebook978-3-031-43987-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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DiffMIC: Dual-Guidance Diffusion Network for?Medical Image Classificationer vision community. However, while a substantial amount of diffusion-based research has focused on generative tasks, few studies have applied diffusion models to general medical image classification. In this paper, we propose the first diffusion-based model (named DiffMIC) to address general medica
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