64 citations · 126 across the 3 of their papers we have counts for
3 papers
Dynamic hardware system for cascade SVM classification of melanoma
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortal…
A system on chip for melanoma detection using FPGA-based SVM classifier
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Support Vector Machine (SVM) is a robust machine learning model that shows high accuracy with different classification problems, and is widely used for various embedded application…
SVM Classifier on Chip for Melanoma Detection
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Support Vector Machine (SVM) is a common classifier used for efficient classification with high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical im…