Deceit 发表于 2025-3-25 05:13:50

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通知 发表于 2025-3-25 09:14:53

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宽容 发表于 2025-3-25 11:49:02

0302-9743 L-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support..978-3-030-00888-8978-3-030-00889-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

不连贯 发表于 2025-3-25 16:28:13

Some Nitrogen-Containing Compoundsuclei segmentation in the microscopy images, liver segmentation in abdominal CT scans, and polyp segmentation in colonoscopy videos. Our experiments demonstrate that UNet++ with deep supervision achieves an average IoU gain of 3.9 and 3.4 points over U-Net and wide U-Net, respectively.

厨房里面 发表于 2025-3-25 22:44:51

A Review of Analytical Literature image, we use its differential excitation component as a pair of inputs to handle intra-class variations. Experimental results show that our approach has superior performance over the state-of-the-art methods, achieving a classification accuracy of 93.74% on our original emphysema database.

江湖郎中 发表于 2025-3-26 03:36:23

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滔滔不绝地讲 发表于 2025-3-26 07:44:24

UNet++: A Nested U-Net Architecture for Medical Image Segmentationuclei segmentation in the microscopy images, liver segmentation in abdominal CT scans, and polyp segmentation in colonoscopy videos. Our experiments demonstrate that UNet++ with deep supervision achieves an average IoU gain of 3.9 and 3.4 points over U-Net and wide U-Net, respectively.

APNEA 发表于 2025-3-26 08:53:22

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跟随 发表于 2025-3-26 13:07:29

3D Convolutional Neural Networks for Classification of Functional Connectomesictive models. We showcase our approach on a challenging large-scale dataset (ABIDE, with .) and report state-of-the-art accuracy results on rs-fMRI-based discrimination of autism patients and healthy controls.

乐章 发表于 2025-3-26 18:25:34

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查看完整版本: Titlebook: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support; 4th International Wo Danail Stoyanov,Zeike T