Skin Cancer Classification Systems Using Convolutional Neural Network with Alexnet Architecture-Reference-Cited by-同舟云学术

Skin Cancer Classification Systems Using Convolutional Neural Network with Alexnet Architecture

Published:2022 Issue: Volume: Page:227-236
ISSN:1876-1100
Container-title:Proceedings of the 2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics
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Author:

Nurlitasari Dian Ayu,Fuadah R. Yunendah Nur,Magdalena Rita

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1804-9_18

Reference14 articles.

1. Munthe TLD (2018) Classification of skin cancer images based on cancer malignancy levels in melanocytes using deep convolutional neural network. University of North Sumatra, pp 74

2. Foeady AZ (2019) Skin cancer classification system based on dermoscopic image data using deep extreme learning machine method. Sunan Ampel State Islamic University Surabaya, pp 1

3. Wahaninggar K (2016) Melanoma skin cancer image classification using support vector machine (SVM). Surabaya Institute of Technology, pp 73

4. Mentari M, Sari YA, Dewi RK (2016) Melanoma skin cancer detection with linear discriminant analysis-fuzzy k-nearest neighbor LP-norm. Brawijaya University, pp 6

5. Hosny KM, Kaseem MA, Foaud MM (2018) Skin cancer classification using deep learning and transfer learning. IEEE, pp 4

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