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Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets
The aim of the study was to use a previously proposed mask region–based convolutional neural network (Mask R-CNN) for automatic abnormal liver density detection and segmentation based on hepatocellular carcinoma (HCC) computed tomography (CT) datasets from a radiological perspective. Training and te...
Autores principales: | Yang, Ching-Juei, Wang, Chien-Kuo, Fang, Yu-Hua Dean, Wang, Jing-Yao, Su, Fong-Chin, Tsai, Hong-Ming, Lin, Yih-Jyh, Tsai, Hung-Wen, Yeh, Lee-Ren |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354440/ https://www.ncbi.nlm.nih.gov/pubmed/34375365 http://dx.doi.org/10.1371/journal.pone.0255605 |
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