Digimammocad: a new deep learning-based cad system for mammogram breast cancer diagnosis with mass identification
Worldwide Breast Cancer (BC) is the most severe cancer in women. There are no outward symptoms at an early stage and the survival rate decreases with the increasing stage. So, only regular screening can save a life. Mammography is the gold standard imaging modality used for regular BC screening due...
Main Author: | Bagchi, Susama |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/8493/1/24p%20SUSAMA%20BAGCHI.pdf http://eprints.uthm.edu.my/8493/2/SUSAMA%20BAGCHI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8493/3/SUSAMA%20BAGCHI%20WATERMARK.pdf |
Similar Items
-
Breast tumor diagnosis in digital mammograms
by: Yang Lim, Xiang, et al.
Published: (2019) -
Analysis of survival in breast cancer patients by using different parametric models
by: Amran, Syahila Enera, et al.
Published: (2017) -
Review on automated follicle identification for polycystic ovarian syndrome
by: Nazarudin, A. A., et al.
Published: (2020) -
Phenotypic identification of Penicillium spp. isolated from clinical wastes based on microstructure characteristics
by: Ali Noman, Efaq, et al.
Published: (2018) -
An industrial IoT-based blockchain-enabled secure searchable encryption approach for healthcare systems using neural network
by: Aitizaz Ali, et al.
Published: (2022)