A fundamental study assessing the generalized fitting method in conjunction with every possible coalition of N-combinations (G-EPOC) using the appendicitis detection task of computed tomography

PURPOSE: Increased use of deep learning (DL) in medical imaging diagnoses has led to more frequent use of 10-fold cross-validation (10-CV) for the evaluation of the performance of DL. To eliminate some of the (10-fold) repetitive processing in 10-CV, we proposed a “generalized fitting method in conj...

Descripción completa

Detalles Bibliográficos
Autores principales: Noguchi, Tomoyuki, Matsushita, Yumi, Kawata, Yusuke, Shida, Yoshitaka, Machitori, Akihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607834/
https://www.ncbi.nlm.nih.gov/pubmed/34820029
http://dx.doi.org/10.5114/pjr.2021.110309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607834/
https://www.ncbi.nlm.nih.gov/pubmed/34820029
http://dx.doi.org/10.5114/pjr.2021.110309

Ejemplares similares