In the medical field, machine learning (ML) techniques are playing a significant and growing
role because of their high potential in helping health practitioners make decisions and …

Aim The aim of this paper is to present baseline imaging data and the improvement that was
achieved by the participating centers after applying practice-specific interventions that were …

We aimed to determine the value of standalone and supplemental automated breast
ultrasound (ABUS) in detecting cancers in an opportunistic screening setting with digital …

Objectives: Identify the anatomy of the breast and its expected visualization in
mammography. Describe the appropriate indications for screening mammography. Review …

Quality assurance program (QAP) implementation in mammography is a key aspect to
guarantee the acquisition of-quality images and, thus, an opportune diagnosis of breast …

Objective Compared with other countries in the Middle East, Qatar has one of the highest
breast cancer incidence and mortality rates. Poor quality mammography images may be …

Purpose The objective of this study is to determine the quality of chest X-ray images using a
deep convolutional neural network (DCNN) and a rule base without performing any visual …

Mammography techniques aimed at the early detection of breast cancer require strict quality
control (QC) procedures to assure the generation of images with diagnostic quality [1] …

Cancer has a higher chance of being cured when it is diagnosed, detected, and treated
early. Diagnosis of cancer in its early stages also results in the highest chance of survival …

A computer-aided diagnostic (CAD) framework for breast cancer is created in this paper.
Problem-solving with the application of supervised machine learning Malignant or non …