• P.V.Asritha Lakshmi
• K.Nikhitha
• N.Sai Sowmya
• K.Ankitha
• M.N.Noorjahan, Dr.K.S.Sagar Reddy

The primary objective of this project is to design a robust deep learning model that is capable of accurately identifying melanoma lesions from dermoscopic images. The Melanoma is a type of skin cancer, which, if detected in its early stages, is highly curable. But its detection is hard, even under expert supervision. This paper is an attempt to make detection of Melanoma using deep learning techniques more efficient and reliable compared to existing techniques. The overall approach followed is to build a two-stage network. The first-stage network targets accurate segmentation of the skin lesion, from the actual dermoscopic images. The second-stage network is a classification network to predict the presence of Melanoma in the sample. For the segmentation stage network, both the U-NET and FCRN methods were implemented. For the classification network, the DRN architecture was implemented. In order to enhance the achieved results, the step-decay technique to modify learning rates was used. Using both binary cross-entropy and weighted binary cross-entropy improved the achieved results, driving towards better accuracy of detection. Convolutional Neural Networks (CNNs) will be employed for feature extraction and classification, leveraging their ability to automatically learn hierarchical representations from image data. The evaluation of the model's performance will be conducted using standard metrics such as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). Comparative analyses with existing melanoma detection methods will also be performed to showcase the proposed system's effectiveness

dermoscopic,fcrn methods,deep learning techniques

"Detection of Melanoma Skin Cancer using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.254-261, June-2024, Available :http://www.jetir.org/papers/JETIRGJ06040.pdf

"Detection of Melanoma Skin Cancer using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp254-261, June-2024, Available at : http://www.jetir.org/papers/JETIRGJ06040.pdf