Objective With latest developments in deep learning approaches, automated, accurate, fast,
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …

This research addresses the challenge of automating skin disease diagnosis using
dermatoscopic images. The primary issue lies in accurately classifying pigmented skin …

Varicose Veins (V 2) are the most harmful chronic disease when blood circulation of leg
veins is not working precisely. This results in serious blood circulation problems from the …

Automatic and accurate segmentation and classification of esophageal lesions are two
essential tasks to assist endoscopists in Upper Gastrointestinal Endoscopy. However, there …

While designing an end‐effector tool for a specific task using an already available robotic
arm is a common strategy for developing robot‐based solutions, it is subject to the …

Classifying and segmenting skin cancer represent pivotal objectives for automated
diagnostic systems that utilize dermoscopy images. However, these tasks present significant …

Deep learning techniques provide a powerful and versatile tool in different areas, such as
object segmentation in medical images. In this paper, we propose a network based on the U …

Goal: In recent years, deep neural networks have consistently outperformed previously
proposed methods in the domain of medical segmentation. However, due to their nature …

Chronic venous insufficiency (CVI) is a venous disorder characterized by impaired blood
flow from the lower extremities back to the heart, leading to various symptoms and …

Chronic Venous Insufficiency (CVI) is a venous incompetence condition that leads to
improper blood circulation from the lower limbs towards the heart. This occurs as a result of …