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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
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

Internet

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

Ejemplares similares