A New GLLD Operator for Mass Detection in Digital Mammograms
During the last decade, several works have dealt with computer automatic diagnosis (CAD) of masses in digital mammograms. Generally, the main difficulty remains the detection of masses. This work proposes an efficient methodology for mass detection based on a new local feature extraction. Local...
Saved in:
Main Authors: | N. Gargouri, A. Dammak Masmoudi, D. Sellami Masmoudi, R. Abid |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2012/765649 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Presegmenter Cascaded Framework for Mammogram Mass Segmentation
by: Urvi Oza, et al.
Published: (2024-01-01) -
Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms
by: Imad Zyout, et al.
Published: (2009-01-01) -
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
by: Wang M, et al.
Published: (2025-02-01) -
Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection
by: Jae Won Seo, et al.
Published: (2025-02-01) -
Colloque International : Hemingway et L’Amérique du Sud : la fabrique transculturelle du vivant
by: Aya Masmoudi
Published: (2024-06-01)