Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis - researchr publication related

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Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi. Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis. In 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023. pages 1-5, IEEE, 2023. [doi]

The following publications are possibly variants of this publication:

Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image AnalysisKazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi. aaaiss 2022: [doi]

MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image AnalysisTakeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa. icpram 2024: 49-68 [doi]

Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural NetworksKazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi. icip 2020: 1931-1935 [doi]

Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image AnalysisKazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi. icpr 2021: 4560-4565 [doi]

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