細胞生物学的課題（接着，運動，骨格，伝達，膜）

[2Pos176] Understanding the results of black box Convolution Neural Network to identify Follicular thyroid cancer

〇ABDUL HALIM BHUIYAN^1,2、Jean-Emmanuel Clément^3,4、Kentaro Mochizuki⁵、James Nick Taylor³、Koji Tabata^3,4、Yuta Mizuno^1,3,4、Atsuyoshi Nakamura⁶、Yoshinori Harada⁷、Katsumasa Fujita^5,8,9、Tamiki Komatsuzaki^1,3,4 (1.Graduate School of Chemical Sciences and Engineering, Hokkaido University, Sapporo, Japan.、2.Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.、3.Research Center of Mathematics for Social Creativity, Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan、4.Institute for Chemical Reaction Design and Discovery, Hokkaido University, Sapporo, Japan、5.Department of Applied physics, Graduate School of Engineering, Osaka University, Japan、6.Graduate school of Information Science and Technology, Hokkaido University, Japan、7.Department of Pathology & Cell Regulation, Kyoto Prefectural University of Medicine, Japan、8.Advanced Photonics and Biosensing Open Innovation Laboratory, AIST-Osaka University, Japan、9.Transdimensional Life Imaging Division, Osaka University, Japan)