Deep Learning Analysis for Skin Cancer Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4444-6_12
Reference15 articles.
1. Zhang G, Shen X, Chen S, Liang L, Luo Y, Yu J, Lu J (2019) Dsm: a deep supervise dmulti-scale network learning for skin cancer segmentation. IEEE Access 7:140936–140945
2. Masood A, Al-Jumaily A, Anam K (2015) Self-supervised learning model for skin cancer diagnosis. In: 2015 7th international IEEE/EMBS conference on neural engineering (NER). IEEE, pp 1012–1015
3. Lau HT, Al-Jumaily A (2009) Automatically early detection of skin cancer: study based on neural network classification. In: International conference of soft computing and pattern recognition, pp 375–380
4. Jafari MH, Karimi N, Jafari MH, Karimi N, Nasr-Esfahani E, Samavi S, Soroushmehr SMR, Ward K, Najarian K (2016) Skin lesion segmentation in clinical images using deeplearning. In: 23rd international conference on pattern recognition (ICPR). IEEE, pp 337–342
5. Vijayalakshmi MM (2019) Melano mask in cancer detection using image processing and machine learning. Int J Trend Sci Res Dev 3(6):780–784
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