首页|Data from Vellore Institute of Technology Advance Knowledge in Support Vector Ma chines (Pipelined Structure in the Classification of Skin Lesions Based on Alexn et CNN and SVM Model With Bi-Sectional Texture Features)
Data from Vellore Institute of Technology Advance Knowledge in Support Vector Ma chines (Pipelined Structure in the Classification of Skin Lesions Based on Alexn et CNN and SVM Model With Bi-Sectional Texture Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on su pport vector machines. According to news reporting originating from Chennai, Ind ia, by NewsRx correspondents, research stated, “The classification of skin lesio ns is crucial because it increases the likelihood that malignant skin lesions wi ll be discovered early on, allowing for more effective treatment. Due to the abu ndance of lesion images and the possibility of human error, early detection can be difficult for dermatologists.”
Vellore Institute of TechnologyChennaiIndiaAsiaMachine LearningSupport Vector Machines
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