Accurate identification of brain tumors using magnetic resonance imaging (MRI) is crucial for
clinical decision-making and surgery planning. However, it is a challenging task due to the …

Hybrid architectures based on Convolutional Neural Network (CNN) and Vision Transformer
(ViT) have become an important research direction in medical image segmentation in recent …

Retinal vessel segmentation is crucial for the diagnosis and monitoring of ophthalmic
illnesses. Deep learning algorithms have been extensively utilized in automated …

Retinal diseases such as Diabetic Retinopathy (DR), Hypertensive Retinopathy (HR),
different types of Occlusions, etc., are associated with the deformity observed in the Retinal …

视网膜眼底图像的分割结果可为糖尿病视网膜病变, 青光眼和年龄相关性黄斑病等眼科疾病的
诊断提供辅助. 通过准确分割视网膜血管, 医生能够更好地了解患者眼部状况, 为诊断 …

Diabetic retinopathy (DR) is a sight-threatening condition associated with diabetes,
characterized by damage to the retinal blood vessels. Key to the automation of DR staging is …

Myositis is the inflammation of the muscles that can arise from various sources with diverse
symptoms and require different treatments. For treatment to achieve optimal results, it is …

Assisted evaluation through retinal vessel segmentation facilitates the early prevention and
diagnosis of retinal lesions. To address the scarcity of medical samples, current research …

Automatic segmentation of retinal vessels plays an important role in computer-aided
diagnosis of ophthalmology and cardiovascular diseases. Attention mechanism can improve …

It would, therefore, require highly advanced prediction tools to enhance early diagnosis and
preemptive mechanisms for all these burgeoning diseases. Fast and correct disease …