Recognition Rate Advancement and Data Error Improvement of Pathology Cutting with H-DenseUNet for Hepatocellular Carcinoma Image

Due to the fact that previous studies have rarely investigated the recognition rate discrepancy and pathology data error when applied to different databases, the purpose of this study is to investigate the improvement of recognition rate via deep learning-based liver lesion segmentation with the inc...

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Detalhes bibliográficos

Principais autores:	Wen-Fan Chen, Hsin-You Ou, Cheng-Tang Pan, Chien-Chang Liao, Wen Huang, Han-Yu Lin, Yu-Fan Cheng, Chia-Po Wei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-09-01
coleção:	Diagnostics
Assuntos:	data comparison deep learning H-DenseUNet lesion segmentation liver segmentation medical statistics
Acesso em linha:	https://www.mdpi.com/2075-4418/11/9/1599
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