The use of machine learning (ML) has been increasing rapidly in the medical imaging field,
including computer-aided diagnosis (CAD), radiomics, and medical image analysis …

In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …

This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Develo** an effective computer-aided …

End-to-end learning machines enable a direct map** from the raw input data to the
desired outputs, eliminating the need for hand-crafted features. Despite less engineering …

Labeling of connected components in a binary image is one of the most fundamental
operations in pattern recognition: labeling is required whenever a computer needs to …

Medical imaging has been indispensable in medicine since the discovery of x-rays. Medical
imaging offers useful information on patients' medical conditions and on the causes of their …

Machine learning (ML) plays an important role in the medical imaging field, including
medical image analysis and computer‐aided diagnosis, because objects such as lesions …

Background: Since colorectal cancer is one of the most important types of cancer in the
world that often leads to death, computer-aided diagnostic (CAD) systems are a promising …

(57) ABSTRACT A method and system for converting low-dose tomosynthe sis projection
images or reconstructed slices images with noise into higher quality, less noise, higher-dose …

Background The aim of this study was to investigate the efficacy of diagnosing depth of wall
invasion of gastric cancer on endoscopic images using computer-aided pattern recognition …