Benign and malignant detection and classification for small size image of breast tumor recognition system using u-net model
Breast tumor recognition is a critical task in the field of medical imaging systems, aiming to differentiate between benign and malignant tumors. To differentiate the tumors, an efficient technique is crucial to detect and classify it to avoid misdetection and misclassification, at the same time can...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43028/ http://umpir.ump.edu.my/id/eprint/43028/2/Benign%20and%20Malignant%20Detection%20and%20Classification%20for%20Small%20Size%20Image%20of%20Breast%20Tumor%20Recognition%20System%20using%20U-Net%20Model%20-%20intro.pdf http://umpir.ump.edu.my/id/eprint/43028/1/Benign%20and%20Malignant%20Detection%20and%20Classification%20for%20Small%20Size%20Image%20of%20Breast%20Tumor%20Recognition%20System%20using%20U-Net%20Model.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/43028/http://umpir.ump.edu.my/id/eprint/43028/2/Benign%20and%20Malignant%20Detection%20and%20Classification%20for%20Small%20Size%20Image%20of%20Breast%20Tumor%20Recognition%20System%20using%20U-Net%20Model%20-%20intro.pdf
http://umpir.ump.edu.my/id/eprint/43028/1/Benign%20and%20Malignant%20Detection%20and%20Classification%20for%20Small%20Size%20Image%20of%20Breast%20Tumor%20Recognition%20System%20using%20U-Net%20Model.pdf