Efficient Melanoma Disease Detection by Using Convolutional Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9436-6_30
Reference21 articles.
1. Patil SM, Rajguru BS, Mahadik RS, Pawar OP (2022) Melanoma skin cancer disease detection using convolutional neural network. In: 3rd International Conference for Emerging Technology (INCET). IEEE, pp 1–6
2. Bandy AD, Spyridis Y, Villarini B, Argyriou V (2023) Intraclass clustering-based CNN approach for detection of malignant melanoma. Sensors 23(2):926
3. Karthik R, Vaichole TS, Kulkarni SK, Yadav O, Khan F (2022) Eff2Net: an efficient channel attention-based convolutional neural network for skin disease classification. Biomed Signal Process Control 73
4. Vijayalakshmi MM (2019) Melanoma skin cancer detection using image processing and machine learning. Int J Trend Sci Res Dev (IJTSRD) 3(4): 780–784. Clerk Maxwell J (1892) A treatise on electricity and magnetism, 3rd edn, vol 2. Clarendon, Oxford, pp 68–73
5. Jojoa Acosta MF et al (2021) Melanoma diagnosis using deep learning techniques on dermatoscopic images. In: BMC medical imaging, pp 1–11
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