Involvement of machine learning for breast cancer image classification: a survey
AA Nahid, Y Kong - Computational and mathematical methods …, 2017 - Wiley Online Library
Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …
engineering of natural image classification techniques and Artificial Intelligence methods …
Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
Asymptomatic left ventricular dysfunction (ALVD) is present in 3–6% of the general
population, is associated with reduced quality of life and longevity, and is treatable when …
population, is associated with reduced quality of life and longevity, and is treatable when …
Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram
CD Galloway, AV Valys, JB Shreibati… - JAMA …, 2019 - jamanetwork.com
Importance For patients with chronic kidney disease (CKD), hyperkalemia is common,
associated with fatal arrhythmias, and often asymptomatic, while guideline-directed …
associated with fatal arrhythmias, and often asymptomatic, while guideline-directed …
Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy
J Mancio, F Pashakhanloo… - European Heart …, 2022 - academic.oup.com
Aims Cardiovascular magnetic resonance (CMR) with late-gadolinium enhancement (LGE)
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …
[图书][B] Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach
D Bansal - 2021 - books.google.com
Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and
Interpretation—A MATLAB-Based Approach focuses on the design and development of a …
Interpretation—A MATLAB-Based Approach focuses on the design and development of a …
Local Binary Patterns Descriptor Based on Sparse Curvelet Coefficients for False‐Positive Reduction in Mammograms
Breast Cancer is the most prevalent cancer among women across the globe. Automatic
detection of breast cancer using Computer Aided Diagnosis (CAD) system suffers from false …
detection of breast cancer using Computer Aided Diagnosis (CAD) system suffers from false …
Mammogram image preprocessing using intensity range based partitioned cumulative distribution function
D Senguttuvan, S Pichai - The Journal of Analysis, 2023 - Springer
Timely Diagnosis of breast cancer plays a crucial role in reducing the mortality rate of the
victims. Mammography is a proven imaging modality to detect the presence or on-set of …
victims. Mammography is a proven imaging modality to detect the presence or on-set of …
Background preserved and feature-oriented contrast improvement using weighted cumulative distribution function for digital mammograms
S Dhamodharan, S Pichai - International Conference on mathematical …, 2021 - Springer
Digital mammography is an inevitable source for the early detection of breast cancer. The
limitations of this imaging modality tend to impede the contrast and brightness of digital …
limitations of this imaging modality tend to impede the contrast and brightness of digital …
A survey of approaches in Deep Learning techniques for the detection and classification of mammography abnormalities
CGR Flores, JCP Ortega… - 2022 19th …, 2022 - ieeexplore.ieee.org
Mammography is currently the most widely used laboratory study for the early detection of
precursor abnormalities of breast cancer, which is one of the main causes of mortality …
precursor abnormalities of breast cancer, which is one of the main causes of mortality …
Novel approach to locate region of interest in mammograms for Breast cancer
BV Divyashree, GH Kumar - arXiv preprint arXiv:1811.07818, 2018 - arxiv.org
Locating region of interest for breast cancer masses in the mammographic image is a
challenging problem in medical image processing. In this research work, the keen idea is to …
challenging problem in medical image processing. In this research work, the keen idea is to …