Author:
Shetty Aakash,Shah Kashish,Reddy Mohini,Sanghvi Rutvik,Save Siddhesh,Patel Yashkumar
Publisher
Springer Nature Singapore
Reference32 articles.
1. Agarwal A, Issac A, Dutta MK, Riha K, Uher V (2017) Automated skin lesion segmentation using k-means clustering from digital dermoscopic images. In: 2017 40th international conference on telecommunications and signal processing (TSP). IEEE, pp 743–748
2. Albahar MA (2019) Skin lesion classification using convolutional neural network with novel regularizer. IEEE Access 7:38306–38313
3. Alquran H, Qasmieh IA, Alqudah AM, Alhammouri S, Alawneh E, Abughazaleh A, Hasayen F (2017) The melanoma skin cancer detection and classification using support vector machine. In: 2017 IEEE Jordan conference on applied electrical engineering and computing technologies (AEECT). IEEE, pp 1–5
4. Amulya PM, Jayakumar TV (2017) A study on melanoma skin cancer detection techniques. In: 2017 international conference on intelligent sustainable systems (ICISS). IEEE, pp 764–766
5. Anitha J et al (2018) Identification of melanoma in dermoscopy images using image processing algorithms. In: 2018 international conference on control, power, communication and computing technologies (ICCPCCT). IEEE, pp 553–557
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献