Melanoma localization and classification through faster region-based convolutional neural network and SVM
- 15 June 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 80 (19), 28953-28974
- https://doi.org/10.1007/s11042-021-11120-7
Abstract
No abstract availableKeywords
This publication has 49 references indexed in Scilit:
- A two-stage approach for discriminating melanocytic skin lesions using standard camerasExpert Systems with Applications, 2013
- Selective Search for Object RecognitionInternational Journal of Computer Vision, 2013
- A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin LesionsPublished by Springer Science and Business Media LLC ,2013
- Automated prescreening of pigmented skin lesions using standard camerasComputerized Medical Imaging and Graphics, 2011
- Skin lesion classification using relative color featuresSkin Research and Technology, 2007
- A relative color approach to color discrimination for malignant melanoma detection in dermoscopy imagesSkin Research and Technology, 2007
- Automated melanoma recognitionIEEE Transactions on Medical Imaging, 2001
- Image enhancement via adaptive unsharp maskingIEEE Transactions on Image Processing, 2000
- Naive (Bayes) at forty: The independence assumption in information retrievalLecture Notes in Computer Science, 1998
- The ABCD rule of dermatoscopy: High prospective value in the diagnosis of doubtful melanocytic skin lesionsJournal of the American Academy of Dermatology, 1994