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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Vydáno v:Oncotarget
Hlavní autoři: Kitajima, Kazuhiro, Matsuo, Hidetoshi, Kono, Atsushi, Kuribayashi, Kozo, Kijima, Takashi, Hashimoto, Masaki, Hasegawa, Seiki, Murakami, Takamichi, Yamakado, Koichiro
Médium: Artigo
Jazyk:Inglês
Vydáno: Impact Journals LLC 2021
Témata:
Research Paper
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8202770/
https://ncbi.nlm.nih.gov/pubmed/34136087
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.27979
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