Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classification
Author:
Publisher
IOP Publishing
Subject
Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference61 articles.
1. Analysis of cancers missed at screening mammography.
2. An automatic method to discriminate malignant masses from normal tissue in digital mammograms1
3. A novel featureless approach to mass detection in digital mammograms based on support vector machines
4. Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system
5. Characterization of difference of Gaussian filters in the detection of mammographic regions
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1. Segmentation of breast tissue structures in mammographic images;Artificial Intelligence and Image Processing in Medical Imaging;2024
2. A review of mammographic region of interest classification;WIREs Data Mining and Knowledge Discovery;2020-02-18
3. Detection of Lesions in Mammograms Using FRFT-Enhanced Homomorphic Filter and Adaptive Thresholding;Nanoelectronics, Circuits and Communication Systems;2020
4. Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method;Journal of Intelligent Systems;2018-07-26
5. Malignant and Benign Mass Segmentation in Mammograms Using Active Contour Methods;Symmetry;2017-11-16
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