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Interpretable Histopathology Image Diagnosis via Whole ...
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由 Z Wu 著作2021被引用 3 次 — The deep learning methods supervised by annotating different regions of histopathology images (patch-level labels) have achieved promising ...
Interpretable Histopathology Image Diagnosis via Whole ...
ACM Digital Library
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由 Z Wu 著作2021被引用 3 次 — The deep learning methods supervised by annotating different regions of histopathology images (patch-level labels) have achieved promising ...
Interpretable Histopathology Image Diagnosis via Whole ...
ResearchGate
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ResearchGate
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2024年11月21日 — Request PDF | Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision | The deep learning methods supervised ...
Interpretable Histopathology Image Diagnosis via Whole ...
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Semantic Scholar
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images · Medicine, Computer Science. Nature Medicine · 2019.
Interpretable Histopathology Image Diagnosis via Whole ...
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Abstract. The deep learning methods supervised by annotating differ- ent regions of histopathology images (patch-level labels) have achieved.
Interpretable classification of pathology whole-slide images ...
ScienceDirect.com
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由 M Liang 著作2023被引用 19 次 — We propose an interpretable classification model named bidirectional Attention-based Multiple Instance Learning Graph Convolutional Network (ABMIL-GCN).
Enabling Interpretable Histopathology Representation ...
Stanford University
https://web.stanford.edu › final-report-169485103
Stanford University
https://web.stanford.edu › final-report-169485103
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Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning. Nature Biomedical Engineering, pages 1–8. A Appendix.
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Aligning knowledge concepts to whole slide images for ...
Nature
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由 W Zhao 著作2024 — The rise of ai language pathologists: exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification.
Interpretable classification of pathology whole-slide images ...
ACM Digital Library
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由 M Liang 著作2023被引用 19 次 — Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. Machine Learning in Medical Imaging.
Negative Evidence Matters in Interpretable Histology Image ...
Proceedings of Machine Learning Research
https://proceedings.mlr.press › ...
Proceedings of Machine Learning Research
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, 2017), which contains 399 whole-slide images (normal or metastatic) for detection of metastases in H&E stained tissue sections of sentinel auxiliary lymph ...
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