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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...
Autores principales: | Noguchi, Tomoyuki, Matsushita, Yumi, Kawata, Yusuke, Shida, Yoshitaka, Machitori, Akihiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2021
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Materias: | |
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 |
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