Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …

Background Artificial Intelligence (AI) holds considerable promise for diagnostics in the field
of gastroenterology. This systematic review and meta-analysis aims to assess the diagnostic …

Precise and efficient polyp segmentation plays a crucial role in colonoscopy, which is
important for the prevention of colorectal cancer. Despite CNN-based methods have …

Over the last three decades, computer vision has had a vital role in the healthcare sector by
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …

Gastrointestinal (GI) diseases are common illnesses that affect the GI tract. Diagnosing these
GI diseases is quite expensive, complicated, and challenging. A computer-aided diagnosis …

Retinal blood vessels are considered valuable biomarkers for the detection of diabetic
retinopathy, hypertensive retinopathy, and other retinal disorders. Ophthalmologists analyze …

The similar shape and texture of colonic polyps and normal mucosal tissues lead to low
accuracy of medical image segmentation algorithms. To solve these problems, we proposed …

Retinal blood vessels possess a complex structure in the retina and are considered an
important biomarker for several retinal diseases. Ophthalmic diseases result in specific …

The automated analysis of medical diagnostic videos, such as ultrasound and endoscopy,
provides significant benefits in clinical practice by improving the efficiency and accuracy of …