Development of a Deep Learning Model to Assist With Diagnosis of Hepatocellular Carcinoma

Development of a Deep Learning Model to Assist With Diagnosis of Hepatocellular Carcinoma

BackgroundAn accurate pathological diagnosis of hepatocellular carcinoma (HCC), one of the malignant tumors with the highest mortality rate, is time-consuming and heavily reliant on the experience of a pathologist. In this report, we proposed a deep learning model that required minimal noise reducti...

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Bibliographic Details
Main Authors: Shi Feng, Xiaotian Yu, Wenjie Liang, Xuejie Li, Weixiang Zhong, Wanwan Hu, Han Zhang, Zunlei Feng, Mingli Song, Jing Zhang, Xiuming Zhang
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
HCC classification
pathological images
deep learning
whole-slide image
noisy annotation
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Online Access:https://doaj.org/article/ad8d7d83bec544e19696d05b87852c76
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https://doaj.org/article/ad8d7d83bec544e19696d05b87852c76

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