Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …

Computer-aided diagnosis (CAD) systems are useful for assisting radiologists with clinical
diagnoses by classifying focal liver lesions (FLLs) based on multi-phase computed …

Medical images play an important role in clinics. In most clinic sites, the diagnosis of
diseases and the comprehending of disease progression need firstly accurate interpretation …

Computer-aided diagnosis have stumbled rapidly in the last few years. One of foremost step
in computer-aided diagnosis is organ classification and segmentation. Among various organ …

Computer-aided diagnosis (CAD) systems are useful in assisting radiologists with clinical
diagnoses by classifying focal liver lesions based on computed tomography (CT) images …

Self-supervised learning (SSL) has emerged as a promising paradigm for medical image
analysis by harnessing unannotated data. Despite their potential, the existing SSL …

The classification of liver lesions in CT images is essential for the diagnosis and treatment of
liver diseases. Since the characteristics of different classes of lesions are similar and the …

The primary cause of coronary heart disease is abnormal myocardial circulatory perfusion.
Microcirculation is the key link of myocardial oxygen supply and plays a major role in …

Content based medical image retrieval (CBMIR) plays a great role in computer aided
diagnosis for assisting radiologists to detect and characterize focal liver lesions (FLLs) …

Objectives: Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …