biostudies-literatureOliveira BFundação para a Ciência e a TecnologiaEuropean Regional Development Fund761https://www.ebi.ac.uk/biostudies/studies/S-EPMC9840616biostudies-literatureUnknown13(1)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 foScientific reportsA multi-task convolutional neural network for classification and segmentation of chronic venous disorders.PMC9840616SFRH/BD/131545/2017SFRH/BD/136670/2018SFRH/BD/136721/2018UIDB/05549/2020NORTE-01-0145-FEDER-000045Veloso FVilaca JLMorais POliveira BTorres HRBaptista ALFonseca JCfalseA multi-task convolutional neural network for classification and segmentation of chronic venous disorders.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 fo2023-01-01T00:00:00Z2023 Jan2025-04-04T08:25:17.789Z2025-04-04T08:25:17.789ZS-EPMC98406163664152710.1038/s41598-022-27089-8