Histopathological Gastric Cancer Detection Using Transfer Learning
Author:
Affiliation:
1. Universiti Tunku Abdul Rahman,Lee Kong Chian Faculty of Engineering and Science,Kajang,Malaysia
2. University of Malaya,Faculty of Engineering,Department of Biomedical Engineering,Kuala Lumpur,Malaysia
Funder
Universiti Tunku Abdul Rahman
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10246448/10246467/10246524.pdf?arnumber=10246524
Reference20 articles.
1. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
2. Automated classification of histopathology images using transfer learning
3. Rethinking the Inception Architecture for Computer Vision;szegedy;2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2016
4. GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer
5. MobileNetV2: Inverted Residuals and Linear Bottlenecks
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Histopathological Cancer Detection Using Pre-Trained Models;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28
2. Histopathological Cancer Detection Using Intra-Domain Transfer Learning and Ensemble Learning;IEEE Access;2024
3. YOLO-MR: Meta-Learning-Based Lesion Detection Algorithm for Resolving Data Imbalance;IEEE Access;2024
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