Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism

Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism

Abstract Purpose Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver cancer can be divided into three types: poorly differentiated, moderately di...

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Bibliographic Details
Main Authors: Chen Chen, Cheng Chen, Mingrui Ma, Xiaojian Ma, Xiaoyi Lv, Xiaogang Dong, Ziwei Yan, Min Zhu, Jiajia Chen
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Histopathological images of liver cancer
SENet
Degree of differentiation of the whole type
Intelligent classification
Online Access:https://doi.org/10.1186/s12911-022-01919-1

Internet

https://doi.org/10.1186/s12911-022-01919-1

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