Automated acquisition of knowledge beyond pathologists
Yoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, Masao Ueki, Hiromu Morikawa, Yasushi Numata, Taishi Takahara, Takuji Tsuyuki, Akira Shimizu, Ichiro Maeda, Shinichi Tsuchiya, Hiroyuki Kanno, Yukihiro Kondo, Manabu Fukumoto, Gen Tamiya, , Go Kimura
This study develops a deep learning method to automatically extract explainable features from histopathological images, achieving higher accuracy than human pathologists in predicting prostate cancer recurrence.
bioRxiv · Feb 4, 2019 · PreprintBioinformatics