低三下四之人 发表于 2025-3-23 13:14:37

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抵制 发表于 2025-3-23 14:58:09

Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-A of its outstanding performance. Interpretability can guarantee the confidence of the deep learning system, therefore it is particularly important in the medical field. In this study, a novel deep network is proposed to explain the diagnostic decision with visual pointing map and diagnostic sentence

BABY 发表于 2025-3-23 21:37:29

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detectionomatic estimation of MLS was recently highlighted by ACR Data Science Institute. In this paper we introduce a novel deep learning based approach for the problem of MLS detection, which exploits task-specific structural knowledge. We evaluate our method on a large dataset containing heterogeneous ima

freight 发表于 2025-3-23 22:21:34

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脱落 发表于 2025-3-24 02:54:02

Deep Neural Network or Dermatologist?constrained by features that are pre-defined by human semantics. A down-side is that it is difficult to understand the rationale of the model predictions and to identify potential failure modes. This is a major barrier to adoption of deep learning in clinical practice. In this paper we ask if two ex

无礼回复 发表于 2025-3-24 07:16:03

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affect 发表于 2025-3-24 12:56:52

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凶兆 发表于 2025-3-24 15:48:07

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多余 发表于 2025-3-24 19:29:33

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喧闹 发表于 2025-3-25 00:54:20

Correction to: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal L
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查看完整版本: Titlebook: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clin; Second International Kenji Suzuki,Mau