Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis / Pang Ting
Breast cancer is one of the most frequent cancers among women. The capability of Deep Learning Radiomics (DLR) to extract high-level medical imaging features has promoted the use of Computer-aided Diagnosis (CAD) for breast cancer. However, current DLR for breast cancer diagnosis faces some problems...
Saved in:
主要作者: | Pang , Ting |
---|---|
格式: | Thesis |
出版: |
2022
|
主題: | |
在線閱讀: | http://studentsrepo.um.edu.my/14399/1/Pang_Ting.pdf http://studentsrepo.um.edu.my/14399/2/Pang_Ting.pdf http://studentsrepo.um.edu.my/14399/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Radioport: a radiomics-reporting network for interpretable deep learning in BI-RADS classification of mammographic calcification
由: Pang, Ting, et al.
出版: (2024) -
Pakej pengarangan kertas soalan examination paper authoring package EPAP / Pang Yen Ping
由: Pang , Yen Ping
出版: (2004) -
Automatic email classification system / Phang Siew Ting
由: Phang , Siew Ting
出版: (2003) -
Meeting Scheduling System (MSS) / Ng Mun Ting
由: Ng , Mun Ting
出版: (2001) -
An integrated three-flow approach for front-end service composition / Lim Mei Ting
由: Lim , Mei Ting
出版: (2020)