Convolution operation is performed within a local window of the input image. Therefore,
convolutional neural network (CNN) is skilled in obtaining local information. Meanwhile, the …

Retinal segmentation is a crucial step in the early warning of human health conditions.
However, retinal blood vessels possess complex curvature, irregular distribution, and …

Blood vessel segmentation in fundus images is necessary for the diagnosis of ophthalmic
diseases. In recent years, deep learning has achieved eminent performance in blood vessel …

The colorectal cancer (CRC) is gaining attention in the context of gastrointestinal tract
diseases as it ranks third among the most prevalent type of cancer. The early diagnosis of …

Recently, with the increasing application of deep learning in the medical field, convolutional
neural networks, represented by U-Net, has been widely applied in medical image …

The U-shaped convolutional neural network (CNN) has attained remarkable achievements
in the segmentation of skin lesion. However, given the inherent locality of convolution, this …

As one of the malignant tumors with high mortality, the initial symptoms of liver cancer are
not obvious. In addition, the liver is the largest internal organ of the human body, and its …

Colorectal cancer (CRC) has been one of the top three disease in the world in terms of
incidence for many years. Therefore, how to prevent and treat CRC has become a topic of …

Colorectal cancer (CRC), ranking third most prevalent cancer type, can be diagnosed with
the detection of polyps in the colon and rectum through endoscopic procedures facilitating …

Accurate segmentation of organs and lesions from medical images holds paramount
importance in aiding physicians with diagnosis and monitor diseases. At present, the …