Deep learning with deep convolutional neural network using FDG-PET/CT for malignant pleural mesothelioma diagnosis

Objectives: This study analyzed an artificial intelligence (AI) deep learning method with a three-dimensional deep convolutional neural network (3D DCNN) in regard to diagnostic accuracy to differentiate malignant pleural mesothelioma (MPM) from benign pleural disease using FDG-PET/CT results. Resul...

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Detalles Bibliográficos
Autores principales: Kitajima, Kazuhiro, Matsuo, Hidetoshi, Kono, Atsushi, Kuribayashi, Kozo, Kijima, Takashi, Hashimoto, Masaki, Hasegawa, Seiki, Murakami, Takamichi, Yamakado, Koichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202770/
https://www.ncbi.nlm.nih.gov/pubmed/34136087
http://dx.doi.org/10.18632/oncotarget.27979

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202770/
https://www.ncbi.nlm.nih.gov/pubmed/34136087
http://dx.doi.org/10.18632/oncotarget.27979

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