Qualitative Histopathological Classification of Primary Bone Tumors Using Deep Learning: A Pilot Study

• Published in: Frontiers in oncology Vol. 11; p. 735739
• Main Authors: Tao, Yuzhang, Huang, Xiao, Tan, Yiwen, Wang, Hongwei, Jiang, Weiqian, Chen, Yu, Wang, Chenglong, Luo, Jing, Liu, Zhi, Gao, Kangrong, Yang, Wu, Guo, Minkang, Tang, Boyu, Zhou, Aiguo, Yao, Mengli, Chen, Tingmei, Cao, Youde, Luo, Chengsi, Zhang, Jian
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 06.10.2021
• Subjects: convolutional neural network (CNN); deep learning; diagnosis; histopathological classification; Oncology; primary bone tumors; deep learning; primary bone tumors; diagnosis; convolutional neural network (CNN); histopathological classification

Histopathological diagnosis of bone tumors is challenging for pathologists. We aim to classify bone tumors histopathologically in terms of aggressiveness using deep learning (DL) and compare performance with pathologists. A total of 427 pathological slides of bone tumors were produced and scanned as...