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Titlebook: Machine Learning in Medical Imaging; 14th International W Xiaohuan Cao,Xuanang Xu,Xi Ouyang Conference proceedings 2024 The Editor(s) (if a

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發(fā)表于 2025-3-28 15:15:51 | 只看該作者
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Conference proceedings 2024semble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc..
48#
發(fā)表于 2025-3-29 23:47:42 | 只看該作者
,Consisaug: A Consistency-Based Augmentation for?Polyp Detection in?Endoscopy Image Analysis,eep learning. We utilize the constraint that when the image is flipped the class label should be equal and the bonding boxes should be consistent. We implement our Consisaug on five public polyp datasets and at three backbones, and the results show the effectiveness of our method. All the codes are available at (.).
49#
發(fā)表于 2025-3-30 03:23:00 | 只看該作者
Yuwen Tan,Xiang Xiangboth theoretically and experimentally, in lectures and seminars. Although they show much interest, introduction of these rather interdisciplinary style of research is not easy, let alone discussing how we can understand life. Of course they ask for some books that describe a theoretical basis of our
50#
發(fā)表于 2025-3-30 04:34:47 | 只看該作者
Lei Zhao,Lei Ma,Zhiming Cui,Jie Zheng,Zhong Xue,Feng Shi,Dinggang Shenboth theoretically and experimentally, in lectures and seminars. Although they show much interest, introduction of these rather interdisciplinary style of research is not easy, let alone discussing how we can understand life. Of course they ask for some books that describe a theoretical basis of our
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