Computer-aided breast cancer detection using mammograms: a review
The American Cancer Society (ACS) recommends women aged 40 and above to have a
mammogram every year and calls it a gold standard for breast cancer detection. Early …
mammogram every year and calls it a gold standard for breast cancer detection. Early …
Methods Used in Computer‐Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
SZ Ramadan - Journal of healthcare engineering, 2020 - Wiley Online Library
According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …
new cases in the United States with invasive breast cancer in women, about 62,930 new …
[HTML][HTML] Diagnostic performance of digital versus film mammography for breast-cancer screening
ED Pisano, C Gatsonis, E Hendrick… - … England Journal of …, 2005 - Mass Medical Soc
Background Film mammography has limited sensitivity for the detection of breast cancer in
women with radiographically dense breasts. We assessed whether the use of digital …
women with radiographically dense breasts. We assessed whether the use of digital …
[Retracted] Effective Image Processing and Segmentation‐Based Machine Learning Techniques for Diagnosis of Breast Cancer
S Chaudhury, AN Krishna, S Gupta… - … Methods in Medicine, 2022 - Wiley Online Library
Breast cancer is the second leading cause of death among women, behind only heart
disease. However, despite the high incidence and mortality rates associated with breast …
disease. However, despite the high incidence and mortality rates associated with breast …
Fuzzy C-means and region growing based classification of tumor from mammograms using hybrid texture feature
Identifying abnormality using breast mammography is a challenging task for radiologists due
to its nature. A more consistent and precise imaging based CAD system plays a vital role in …
to its nature. A more consistent and precise imaging based CAD system plays a vital role in …
Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine …
Purpose: The amount of fibroglandular tissue content in the breast as estimated
mammographically, commonly referred to as breast percent density (PD%), is one of the …
mammographically, commonly referred to as breast percent density (PD%), is one of the …
Contrast enhancement by multiscale adaptive histogram equalization
Y Jin, LM Fayad, AF Laine - Wavelets: Applications in Signal …, 2001 - spiedigitallibrary.org
An approach for contrast enhancement utilizing multi-scale analysis is introduced. Sub-band
coefficients were modified by the method of adaptive histogram equalization. To achieve …
coefficients were modified by the method of adaptive histogram equalization. To achieve …
Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques
A Papadopoulos, DI Fotiadis, L Costaridou - Computers in biology and …, 2008 - Elsevier
In this work, the effect of an image enhancement processing stage and the parameter tuning
of a computer-aided detection (CAD) system for the detection of microcalcifications in …
of a computer-aided detection (CAD) system for the detection of microcalcifications in …
Mammographic image enhancement using indirect contrast enhancement techniques–a comparative study
Contrast enhancement is an important issue in the field of mammographic image
processing. It can be classified into two categories: direct contrast enhancement and in …
processing. It can be classified into two categories: direct contrast enhancement and in …
Automatic weld defect identification from radiographic images
This paper presents a new approach for weld defect identification from radiographic images.
This approach is based on the generation of a database of defect features using Mel …
This approach is based on the generation of a database of defect features using Mel …