[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
[HTML][HTML] Errors in mammography cannot be solved through technology alone
Mammography has been the frontline screening tool for breast cancer for decades.
However, high error rates in the form of false negatives (FNs) and false positives (FPs) have …
However, high error rates in the form of false negatives (FNs) and false positives (FPs) have …
A state-of-the-art survey on deep learning methods for detection of architectural distortion from digital mammography
ON Oyelade, AES Ezugwu - IEEE access, 2020 - ieeexplore.ieee.org
Breast cancer is a type of cancer that has risen to be the second cause of death among
women. Classification of breast tissues into normal, benign, or malignant depends on the …
women. Classification of breast tissues into normal, benign, or malignant depends on the …
Architectural distortion-based digital mammograms classification using depth wise convolutional neural network
Simple Summary Breast cancer is leading cancer increases the death rate in women. Early
diagnosis of breast cancer in women can save their lives. The current study proposed a …
diagnosis of breast cancer in women can save their lives. The current study proposed a …
Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM
WB de Sampaio, AC Silva, AC de Paiva… - Expert Systems with …, 2015 - Elsevier
Breast cancer is the second commonest type of cancer in the world, and the commonest
among women, corresponding to 22% of the new cases every year. This work presents a …
among women, corresponding to 22% of the new cases every year. This work presents a …
Atypical architectural distortion detection in digital breast tomosynthesis: a computer-aided detection model with adaptive receptive field
Y Li, Z He, J Pan, W Zeng, J Liu, Z Zeng… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. In digital breast tomosynthesis (DBT), architectural distortion (AD) is a breast
lesion that is difficult to detect. Compared with typical ADs, which have radial patterns …
lesion that is difficult to detect. Compared with typical ADs, which have radial patterns …
[HTML][HTML] Addressing architectural distortion in mammogram using AlexNet and support vector machine
Objective To address the architectural distortion (AD) which is an irregularity in the
parenchymal pattern of breast. The nature of AD is extremely complex; still, the study is very …
parenchymal pattern of breast. The nature of AD is extremely complex; still, the study is very …
Analysis of structural similarity in mammograms for detection of bilateral asymmetry
P Casti, A Mencattini, M Salmeri… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
We hypothesize that quantification of structural similarity or dissimilarity between paired
mammographic regions can be effective in detecting asymmetric signs of breast cancer …
mammographic regions can be effective in detecting asymmetric signs of breast cancer …
Fusion of local and global features for classification of abnormality in mammograms
Mammography is the most widely used tool for the early detection of breast cancer.
Computer-based algorithms can be developed to improve diagnostic information in …
Computer-based algorithms can be developed to improve diagnostic information in …
[HTML][HTML] AI-based prevention of interval cancers in a national mammography screening program
Purpose To demonstrate that artificial intelligence (AI) can detect and correctly localise
retrospectively visible cancers that were missed and diagnosed as interval cancers (false …
retrospectively visible cancers that were missed and diagnosed as interval cancers (false …