A COMPREHENSIVE SURVEY ON AUTOMATIC SEGMENTATION AND CLASSIFICATION OF SKIN CANCER FROM DERMOSCOPIC IMAGES
| Main Author: | Ikhlas Ahmad Lone*1& Manmeen Kaur2 |
|---|---|
| Format: | Article eJournal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3700409 |
Daftar Isi:
- Skin cancer is defined as a preventive disease that spreads across the bloodstream of the human body. There is no possibility or methods to find out the exact reason for any type of cancer, but here is the cause of cancer such as tobacco consumption, bad diet, absence of physical activity, obesity, UV exposure and alcohol consumption. Malignant type of skin cancer is the deadliest form of skin cancer. It can be easily treatable if detected in early stages. Clinical as well as automated methods are being used for skin cancer diagnosis but computer aided diagnosis systems have great potential for early skin cancer detection. In this survey paper, a comprehensive survey on automatic segmentation and classification of skin cancer from dermoscopic images is presented to find out the better option regarding future research based on the current challenges.