An SVM Framework for Malignant Melanoma Detection Based on Optimized HOG Features

Computation - Switzerland
doi 10.3390/computation5010004
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

An Automatic Annotation Algorithm for Deep Learning Image Datasets Based on HOG Features

DEStech Transactions on Computer Science and Engineering
2018English

Breast Cancer Computer-Aided Detection System Based on Simple Statistical Features and SVM Classification

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Hardware Acceleration of SVM-Based Classifier for Melanoma Images

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2016English

Efficient Intrusion Detection Scheme Based on SVM

Journal of Networks
2013English

An Optimized Method Using CNN, RF, Cuckoo Search and HOG for Early Detection of Eye Disease in Humans

European Journal of Electrical Engineering and Computer Science
2020English

Resolution Invariant Wavelet Features of Melanoma Studied by SVM Classifiers

PLoS ONE
Multidisciplinary
2019English

An Intelligent Fault Identification Method of Rolling Bearings Based on SVM Optimized by Improved GWO

Systems Science and Control Engineering
ControlSystems EngineeringOptimizationArtificial Intelligence
2019English

HOG-like Gradient-Based Descriptor for Visual Vehicle Detection

2012English

Computational Vision Systems for the Detection of Malignant Melanoma

Oncology Reports
MedicineCancer ResearchOncology
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy