Enhanced Diagnosis of Liver Cancer Subtypes Through Deep Learning Techniques
Author:
Affiliation:
1. MSA University,Faculty of Computer Science,Cairo,Egypt
2. Cairo University,Dep. of Computer Science FGSSR,Cairo,Egypt
3. MSA University,Faculty of Computer Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483564/10483566/10485178.pdf?arnumber=10485178
Reference25 articles.
1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
2. Global incidence trends in primary liver cancer by age at diagnosis, sex, region, and etiology, 1990‐2017
3. The immunological and metabolic landscape in primary and metastatic liver cancer
4. A multi-modal deep neural network for multi-class liver cancer diagnosis
5. A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet
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