Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learning
Jouf University · Benha University · +2 more institutions
Abstract
An increasing number of genetic and metabolic anomalies have been determined to lead to cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life-threatening. Skin cancer is one of the most common types of cancer, and its frequency is increasing worldwide. The main subtypes of skin cancer are squamous and basal cell carcinomas, and melanoma, which is clinically aggressive and responsible for most deaths. Therefore, skin cancer screening is necessary. One of the best methods to accurately and swiftly identify skin cancer is using deep learning (DL). In this research, the deep learning method convolution neural network (CNN) was used to detect the two primary types of tumors,…
Citation impact
- FWCI
- 33.18
- Percentile
- 100%
- References
- 49
Authors
5Topics & keywords
- Skin cancer
- Deep learning
- Artificial intelligence
- Computer science
- Convolutional neural network
- Preprocessor
- Cancer
- Lesion
- Industry, innovation and infrastructure