Deep learning-based classification of primary bone tumors on radiographs: A preliminary study

Deep learning-based classification of primary bone tumors on radiographs: A preliminary study

Background: To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists. Methods: A total of 1356 patients (2899 images) with histologically confirmed primary bone tumors and pre-operative radiographs were identified from f...

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Bibliographic Details
Main Authors: Yu He, Ian Pan, Bingting Bao, Kasey Halsey, Marcello Chang, Hui Liu, Shuping Peng, Ronnie A. Sebro, Jing Guan, Thomas Yi, Andrew T. Delworth, Feyisope Eweje, Lisa J. States, Paul J. Zhang, Zishu Zhang, Jing Wu, Xianjing Peng, Harrison X. Bai
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:EBioMedicine
Subjects:
Deep learning
Convolutional neural network
Primary bone tumor
Plain radiograph
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396420304977

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