About this document
Ensemble Deep Learning for Skin Cancer Detection by Rishitha Nyalakonda is a document available to read on EtoBox.
This paper proposes an ensemble model using VGGNet, CapsNet, and ResNet for skin cancer detection. Skin cancer is a serious health issue that develops in the outer layer of skin. Previously, machine learning approaches required manually designed features, while deep learning enables automatic feature extraction. However, individual deep learning models have limited accuracy for sensitive tasks like cancer detection. The paper finds that combining the predictions of multiple deep learning models in an ensemb
- Author
- Rishitha Nyalakonda
- Language
- EN