Benign and malignant detection and classification for small size image of breast tumor recognition system using u-net model

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...

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Bibliographic Details
Main Authors: Suryanti, Awang, Kumar, Saumya, Nur Syafiqah, Mohd Nafis, Raihanah, Haroon
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2024
Subjects:
QA75 Electronic computers. Computer science
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

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