Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach
The mammography image eccentric area is the breast density percentage measurement. The technical challenge of quantification in radiology leads to misinterpretation in screening. Data feedback from society, institutional, and industry shows that quantification and segmentation frameworks have rap...
Main Author: | Othman, Khairulnizam |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/8430/1/24p%20KHAIRULNIZAM%20OTHMAN.pdf http://eprints.uthm.edu.my/8430/2/KHAIRULNIZAM%20OTHMAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8430/3/KHAIRULNIZAM%20OTHMAN%20WATERMARK.pdf |
Similar Items
A Common Backend for Hardware Acceleration on FPGA
by: Del Sozzo, Emanuele, et al.
Published: (2021)
by: Del Sozzo, Emanuele, et al.
Published: (2021)
Similar Items
-
Ultrasound diagnosis of breast cancer
by: Zhou, Yufeng.
Published: (2013) -
Efficient hardware accelerator for NORX authenticated encryption
by: Kumar, Sachin, et al.
Published: (2020) -
Development of an intelligent system for breast cancer diagnosis
by: Lim, Wei Keat
Published: (2011) -
Delay in seeking diagnosis and treatment among women with breast cancer
by: Norsa'adah, Bachok
Published: (2012) -
Breast Cancer Segmentation Based on GVF Snake
by: Mahfuzah, Mustafa, et al.
Published: (2014)