Medical imaging has been widely used to diagnose various disorders over the past 20
years. Primary challenges in medicine include accurate disease identification and improved …

Medical imaging plays a vital role in medical diagnosis and clinical treatment. The biggest
challenge in the medical field is the correct identification of disease and better treatment …

Non-uniform illuminated images pose challenges in contrast enhancement due to the
existence of different exposure region caused by uneven illumination. Although Histogram …

The quality of medical images plays a vital role in many image processing applications such
as image segmentation, feature extraction, image classification, image recognition, and …

The fusion of multi-modal medical images has great significance for comprehensive
diagnosis and treatment. However, the large differences between the various modalities of …

Most medical images suffer from inadequate contrast and brightness, which leads to blurred
or weak edges (low contrast) between adjacent tissues resulting in poor segmentation and …

Diabetic retinopathy (DR) is the main cause of new cases of blindness, and retinal
microaneurysm (MA) is one of the early clinical manifestations of DR. However, it is difficult …

Hidden details and lack of image contrast can be attributed to limited user experience, poor
device quality, environment settings during image acquisition, and illumination. To address …

Contrast limited fuzzy adaptive histogram equalization (CLFAHE) is proposed to improve the
contrast of MRI Brain images. The proposed method consists of three stages. First, the gray …

Medical imaging is a widespread method of envisioning the inside of the human anatomy
without causing harm. In magnetic resonance imaging (MRI), poor contrast images may not …