Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features

Abstract Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning shows promise in assisting clinical decisio...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Tuan Le Dinh, Seungeun Lee, Hyemin Park, Sungwon Lee, Hyeondeok Choi, Keum San Chun, Joon-Yong Jung
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Chondroid tumors MRI images Tumor segmentation Computer-aided diagnosis Deep learning Radiomics
Online Access:	https://doi.org/10.1038/s41598-025-07128-w