Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation

Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation

Medical image segmentation is a crucial element of computer-aided diagnosis (CAD) systems. Segmentation maps are used to calculate imaging features, such as quantitative disease distribution and radiomic features. Since their introduction in 2015, UNets have become the state-of-the-art segmentation...

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Bibliographic Details
Main Authors: M. Fontanellaz, A. Christe, S. Christodoulidis, E. Dack, J. Roos, D. Drakopoulos, D. Sieron, A. Peters, T. Geiser, M. Funke-Chambour, J. Heverhagen, H. Hoppe, A. K. Exadaktylos, L. Ebner, S. Mougiakakou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Chest X-ray
chest computed tomography
interstitial lung diseases
radiomics
computer-aided diagnosis
segmentation
Online Access:https://ieeexplore.ieee.org/document/10381702/

Internet

https://ieeexplore.ieee.org/document/10381702/

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