A multi-task convolutional neural network for classification and segmentation of chronic venous disorders.

ABSTRACT: Chronic Venous Disorders (CVD) of the lower limbs are one of the most prevalent medical conditions, affecting 35% of adults in Europe and North America. Due to the exponential growth of the aging population and the worsening of CVD with age, it is expected that the healthcare costs and the resources needed for the treatment of CVD will increase in the coming years. The early diagnosis of CVD is fundamental in treatment planning, while the monitoring of its treatment is fundamental to assess a patient's condition and quantify the evolution of CVD. However, correct diagnosis relies on a qualitative approach through visual recognition of the various venous disorders, being time-consuming and highly dependent on the physician's expertise. In this paper, we propose a novel automatic strategy fo

SUBMITTER: Oliveira B 

PROVIDER: S-EPMC9840616 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature