Andere Kunden interessierten sich auch für
![DEEP LEARNING TECHNIQUES TO DIAGNOSE DISEASES]( "DEEP LEARNING TECHNIQUES TO DIAGNOSE DISEASES")
DEEP LEARNING TECHNIQUES TO DIAGNOSE DISEASES29,99 €![Detection of Diabetic Retinopathy Using Deep Learning]( "Detection of Diabetic Retinopathy Using Deep Learning")
Detection of Diabetic Retinopathy Using Deep Learning29,99 €![Design and Implementation of Image Analysis for Melanoma Skin Cancer]( "Design and Implementation of Image Analysis for Melanoma Skin Cancer")
Design and Implementation of Image Analysis for Melanoma Skin Cancer26,99 €![Approaching Skin Cancer Through Textile Engineering Perspective]( "Approaching Skin Cancer Through Textile Engineering Perspective")
Approaching Skin Cancer Through Textile Engineering Perspective36,99 €![Deep Learning with GPUs]( "Deep Learning with GPUs")
Deep Learning with GPUs36,99 €![Dual Shot Face Detecting Using Deep Learning]( "Dual Shot Face Detecting Using Deep Learning")
Dual Shot Face Detecting Using Deep Learning26,99 €![Unveiling the Black Box: Practical Deep Learning and Explainable AI]( "Unveiling the Black Box: Practical Deep Learning and Explainable AI")
Unveiling the Black Box: Practical Deep Learning and Explainable AI51,99 €
Skin diseases are the fourth most common cause of human illness which results in enormous non-fatal burden in daily life activities. They are caused by chemical, physical and biological factors. Visual assessment in combination with clinical information is the common diagnostic procedure for diseases. In this study, an automated system is proposed for the diagnosis of common skin diseases by using data from clinical images and patient information using deep learning pre-trained models.