| 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 | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Virtual Presentation | Click here to watch in the Virtual Conference | ||