Data Engineering in Medical Imaging : First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / edited by Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana Namburete, Razvan Caramalau, Danail Stoyanov
(Lecture Notes in Computer Science. ISSN:16113349 ; 14314)
データ種別 | 電子ブック |
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版 | 1st ed. 2023. |
出版者 | (Cham : Springer Nature Switzerland : Imprint: Springer) |
出版年 | 2023 |
大きさ | X, 123 p. 45 illus., 38 illus. in color : online resource |
著者標目 | Bhattarai, Binod editor Ali, Sharib editor Rau, Anita editor Nguyen, Anh editor Namburete, Ana editor Caramalau, Razvan editor Stoyanov, Danail editor SpringerLink (Online service) |
書誌詳細を非表示
一般注記 | Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels -- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis -- A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation -- Pre-training with simulated ultrasound images for breast mass segmentation and classification -- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications -- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video -- Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance -- Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining -- A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions -- Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy -- Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. Volume LNCS 14414 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 DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper). All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications HTTP:URL=https://doi.org/10.1007/978-3-031-44992-5 |
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件 名 | LCSH:Engineering -- Data processing
全ての件名で検索
LCSH:Computer science FREE:Data Engineering FREE:Computer Science |
分 類 | LCC:TA345-345.5 DC23:620.00285 |
書誌ID | EB00003990 |
ISBN | 9783031449925 |
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