Categorizing and Determining of BI-RAD Breast Cancer Score by Using Deep Learning Techniques
Breast cancer is second only to skin cancer in prevalence. Failure to detect and treat breast cancer early could be fatal. Breast cancer is more common in underdeveloped countries due to low health awareness and limited early detection methods. However, detecting equipment and radiography advances...
Saved in:
Main Authors: | Azhar Kassem Flayeh, Ali Douik |
---|---|
Format: | Article |
Language: | English |
Published: |
Qubahan
2024-11-01
|
Series: | Qubahan Academic Journal |
Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/686 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative Analysis of Automated and Handheld Breast Ultrasound Findings for Small (≤1 cm) Breast Cancers Based on BI-RADS Category
by: Han Song Mun, et al.
Published: (2025-01-01) -
The additive diagnostic value of ultrasonic strain elastography in characterizing BI-RADS 4 breast lesions
by: Dalia Bayoumi, et al.
Published: (2025-02-01) -
Breast imaging reporting and data system (BI RADS): Why don't we use it correctly in the region?
by: Prvulović-Bunović Nataša, et al.
Published: (2024-01-01) -
The Assignment of Scores Procedure for Ordinal Categorical Data
by: Han-Ching Chen, et al.
Published: (2014-01-01) -
Frontier machine learning techniques for melanoma skin cancer identification and categorization: An in-Depth review
by: Viomesh Singh, et al.
Published: (2024-03-01)