In recent years, enormous research has been carried out on the segmentation of blood
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …

Experts use retinal images and vessel trees to detect and diagnose various eye, blood
circulation, and brain-related diseases. However, manual segmentation of retinal images is …

In clinical screening, accurate diagnosis of various diseases relies on the extraction of blood
vessels from fundus images. However, clinical fundus images often suffer from uneven …

Blood vessel segmentation is a crucial aspect of medical image processing, aiding medical
professionals in more accurate disease analysis and diagnosis. Manual blood vessel …

Fundus images are used to assist the diagnoses of ocular diseases, and a high-quality
fundus image with more details makes clinical diagnostic results more reliable. However, the …

Experts require large high-resolution retinal images to detect tiny abnormalities, such as
microaneurysms or issues of vascular branches. However, these images often suffer from …

High-quality fundus images are essential for ophthalmologists in clinical diagnosis of eye
diseases. For reasons such as the acquisition process and the retinal disease, most fundus …

Cancer is one of the most common health problems affecting individuals worldwide. In the
field of biomedical engineering, one of the main methods for cancer diagnosis is the …

Medical imaging plays a significant role in detecting and treating various diseases.
However, these images often happen to be of too poor quality, leading to decreased …

The image segmentation of diseases can help clinical diagnosis and treatment in medical
image analysis. Due to the complexity of lesion features (eg, size, location, and morphology) …