The heavy global burden and mortality of breast cancer emphasize the importance of early
diagnosis and treatment. Imaging detection is one of the main tools used in clinical practice …

Mammography can be considered as the current gold standard for detecting early signs of
breast cancer and is in wide use throughout the world. As confirmed by many studies, breast …

Breast cancer is regarded as one of the most frequent mortality causes among women. As
early detection of breast cancer increases the survival chance, creation of a system to …

In this work, the authors develop a working software‐based approach named 'linearly
quantile separated histogram equalisation‐grey relational analysis' for mammogram image …

This paper proposes an automated diagnostic tool namely, Auto-MyIn, for diagnosing
myocardial infarction (MI) using multiple convolutional neural networks (CNN). Rather than …

In 2020, according to the publications of both the Global Cancer Observatory (GCO) and the
World Health Organization (WHO), breast cancer (BC) represents one of the highest …

In the US, breast cancer is diagnosed in about 12% of women during their lifetime and it is
the second leading reason for women's death. Since early diagnosis could improve …

In this paper, we propose a novel Particle Swarm Optimized (PSO) One-Dimensional
Convolutional Neural Network with Support Vector Machine (1-D CNN-SVM) architecture for …

Mammography is a well-known method used for the detection of breast cancer. Many
researchers worked in the area of breast cancer detection and proposed segmentation …

We investigate the performance of six different approaches for directional feature extraction
for mass classification problem in digital mammograms. These techniques use a bank of …