Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images

The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories and to compare this with the performance of radiologists on the...

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Detalles Bibliográficos
Autores principales: Christe, Andreas, Peters, Alan A., Drakopoulos, Dionysios, Heverhagen, Johannes T., Geiser, Thomas, Stathopoulou, Thomai, Christodoulidis, Stergios, Anthimopoulos, Marios, Mougiakakou, Stavroula G., Ebner, Lukas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738634/
https://www.ncbi.nlm.nih.gov/pubmed/31483764
http://dx.doi.org/10.1097/RLI.0000000000000574

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738634/
https://www.ncbi.nlm.nih.gov/pubmed/31483764
http://dx.doi.org/10.1097/RLI.0000000000000574

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