| Paper ID | ARS-09.4 |
| Paper Title |
MULTI-SCALE EXPLAINABLE FEATURE LEARNING FOR PATHOLOGICAL IMAGE ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS |
| Authors |
Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi, National Institute of Advanced Industrial Science and Technology (AIST), Japan |
| Session |
ARS-09: Explainable Machine Learning for Computer Vision |
| Time | Tuesday, 27 October, 14:30 - 14:55 |
| Topic |
[ARS] Image & Video Analysis, Synthesis, and Retrieval: [MLR-APPL-EX Explainable Machine Learning for Computer Vision |
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