Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models
Introduction: When considering cancer mortality rates in general, Breast Cancer (BC) is a major contributor among females. Patients’ chances of survival increase when BC is detected early and treated with the appropriate treatment at the right time. There is strong evidence that mammography, when us...
Saved in:
Main Authors: | Preeti Katiyar, Krishna Singh |
---|---|
Format: | Article |
Language: | English |
Published: |
JCDR Research and Publications Private Limited
2025-01-01
|
Series: | Journal of Clinical and Diagnostic Research |
Subjects: | |
Online Access: | https://jcdr.net/articles/PDF/20532/75303_CE(Ra1)_F(Sh)_QC(AN_IS)_PF1(RI_OM_SS)_PFA(IS)_PB(RI_IS)_PN(IS).pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection
by: Jae Won Seo, et al.
Published: (2025-02-01) -
Federated Learning Approach for Breast Cancer Detection Based on DCNN
by: Hussain AlSalman, et al.
Published: (2024-01-01) -
Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification
by: Opeyemi Adelaja, et al.
Published: (2025-01-01) -
Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images
by: Naseeb Singh, et al.
Published: (2024-12-01) -
Breast Suspicious Microcalcifications on Contrast-Enhanced Mammograms: Practice and Reflection
by: Zhao X
Published: (2025-01-01)