Automatic detection, segmentation and classification of abdominal aortic aneurysm using deep learning
This study is focused on developing an automated algorithm for the detection and segmentation of Abdominal Aortic Aneurysm (AAA) region in CT Angiography images. The outcome of this research will offer great assistance for radiologists to detect the AAA region and estimate its volume in CT datasets...
Saved in:
主要作者: | Ho, Aik Hong |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2015
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/81027/1/HoAikHongMFKE2015.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
In-vitro study on abdominal aortic aneurysms /
由: Cui Yongdong
出版: (2002) -
Association between abdominal aortic aneurysm and atherosclerosis /
由: Rasheeda Mohd. Zamin
出版: (2009) -
Semantic segmentation for plant disease using deep learning
由: Shu, Shi Hao
出版: (2020) -
Object classification using deep learning
由: Fong, Soon Fei
出版: (2015) -
Morphological image segmentation for detection and classification of PCB defects
由: Indera Putera, Siti Hazurah
出版: (2007)