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@article{175187,
        author = {SRAVAN UGGE and SRIRAMULA CHANDU and J SHIVACHARAN and SINGAM AYYAPPA and R. AZHAGUSUNDARAM},
        title = {AN EFFECTIVE APPROACH TO DETECT SKIN CANCER USING DEEP LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2432-2437},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175187},
        abstract = {The medical industry is advancing with the innovation of new technologies; newer healthcare technology and treatment procedures are being developed. Biotechnology is the base for all these advancement in technology. With the advent of several pollutants, cosmetics and chemicals into our day to day lives, the health of individuals has been deteriorating every day. These not only effects physical or mental health, but also change our lifestyles. This project work concentrates on identification of skin cancer, caused by one of the above-mentioned conditions. The images are processed using combinations of Deep learning and image processing to detect the stage of cancer. Images of the affected area are captured with the help of derma scope. Several algorithms have been proposed to detect skin cancer but most of the inputs are fed manually. The main objective of this project is to develop a Deep learning algorithm which requires minimal intervention of human. The tool we have used for the detection of cancer cells is Jupyter Notebook. At last DL classifier is used to classify.
In our project we have used algorithms like ResNet 50 as proposed and Artificial Neural Network (ANN) as existing. All are measured in terms of accuracy and from the results the proposed Artificial Neural Network (ANN) performs well compared to other algorithms.},
        keywords = {Skin Cancer Detection, Deep Learning, Image Processing, ResNet-50, Artificial Neural Network (ANN), Jupyter Notebook, Derma Scope, Medical Imaging, Cancer Classification, Healthcare Technology.},
        month = {April},
        }