Deep learning algorithm for breast masses classification in mammograms
VS Gnanasekaran, S Joypaul… - IET Image …, 2020 - Wiley Online Library
A mammogram is an image of a breast used to detect and diagnose breast cancer. This
paper emphases a Computer‐Aided Detection system based on convolutional neural …
paper emphases a Computer‐Aided Detection system based on convolutional neural …
Characterization of mammographic masses based on local photometric attributes
Abstract This paper proposes Local Photometric Attributes (LPA) for the characterization of
mammographic masses as benign or malignant. LPA measures the local information over …
mammographic masses as benign or malignant. LPA measures the local information over …
Comparison of image reconstruction algorithms for finding impurities utilising EIT for clinical application in breast cancer
P Hankare, AN Cheeran… - International Journal of …, 2022 - inderscienceonline.com
Breast cancer is a common and life threatening disease if not treated in its early stage.
Electrical impedance tomography is an imaging technique employed in medical field for …
Electrical impedance tomography is an imaging technique employed in medical field for …
Detection and classification of breast cancer using CNN
R Hariharan, M Dhilsath Fathima, A Pitchai… - Advance Concepts of …, 2022 - Springer
Breast cancer has been a major type of cancer and has been responsible for countless
deaths of women in the last few years. Scientists have been trying their best to come with the …
deaths of women in the last few years. Scientists have been trying their best to come with the …
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification
In this paper, multi-resolution analysis of two edge-texture based descriptors, Discriminative
Robust Local Binary Pattern (DRlbp) and Discriminative Robust Local Ternary Pattern …
Robust Local Binary Pattern (DRlbp) and Discriminative Robust Local Ternary Pattern …