Deep Learning-Based Hepatocellular Carcinoma Histopathology Image Classification: Accuracy Versus Training Dataset Size

Deep Learning-Based Hepatocellular Carcinoma Histopathology Image Classification: Accuracy Versus Training Dataset Size

Globally, liver cancer causes more than 700,000 deaths each year and is the second-leading cause of death from cancer. Hepatocellular carcinoma (HCC) is the most common type of liver cancer in adults and accounts for most deaths in cirrhosis patients. Patients with early-stage liver cancer can be tr...

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Bibliographic Details
Main Authors: Yu-Shiang Lin, Pei-Hsin Huang, Yung-Yaw Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
hepatocellular carcinoma
histopathology image classification
inverse power law function-based fitting curve regression
Online Access:https://ieeexplore.ieee.org/document/9359762/

Internet

https://ieeexplore.ieee.org/document/9359762/

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