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Detection of melanoma using distinct features
- Source :
- 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Melanoma is one of the deadliest cancer to be treated as well to detect in initial phase. Here we take the skin lesion by ROI and then we take out features of it then it needs to be segmented whether the particular image is cancerous or not. If it is cancerous then classify the extracted features and discuss about type of stages. A novel 3D reconstruction algorithm from 2D dermoscopic images is proposed. The detection of 3D image shape and RGB are to be carried out. In this paper we have proposed this work for 3D depth parameter which will enhance the classification rate.
- Subjects :
- business.industry
Computer science
Melanoma
Feature extraction
3D reconstruction
Scale-space segmentation
Cancer
Pattern recognition
02 engineering and technology
Image segmentation
021001 nanoscience & nanotechnology
medicine.disease
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Image texture
Initial phase
medicine
RGB color model
Computer vision
Artificial intelligence
0210 nano-technology
business
Skin lesion
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC)
- Accession number :
- edsair.doi...........b7bcf9f7f3bfd8037368e36badb50840