Deep Learning Optimizer Evaluation in Blur Detection of Digital Breast Tomosynthesis Images using CNN Constructed from Scratch

Deep Learning Optimizer Evaluation in Blur Detection of Digital Breast Tomosynthesis Images using CNN Constructed from Scratch

Identifying breast cancer at an early stage is an important part of determining a suitable treatment plan but is often challenging due to the image quality. Digital Breast Tomosynthesis (DBT) is a method that extends digital mammography to detect breast cancer beyond areas of density. However, the s...

詳細記述

書誌詳細
出版年:Proceeding - 2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023
第一著者: 2-s2.0-86000005008
フォーマット: Conference paper
言語:English
出版事項: Institute of Electrical and Electronics Engineers Inc. 2023
オンライン･アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000005008&doi=10.1109%2fAIRoSIP58759.2023.10873950&partnerID=40&md5=1f4e70d0629e9821302308ae3efcb345

インターネット

https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000005008&doi=10.1109%2fAIRoSIP58759.2023.10873950&partnerID=40&md5=1f4e70d0629e9821302308ae3efcb345

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