The Identification and Classification of Rash Conditions Compared to Skin Cancer

Laburpena

When left untreated, skin cancer can quickly spread throughout the human body. To a Dermatologist, skin cancer and rashes may look the same. Therefore, distinguishing between rashes and skin cancer might be challenging. People and medical professionals alike use the term "rash" to refer to any visible alteration in the skin, including but not limited to an infection, an allergic reaction, or a disease. A dermatologist will suspect skin cancer from a rash if it does not improve after several weeks of treatment and if it quickly spreads to other areas of the body. Meanwhile, being aware of the distinctions between rashes and skin cancer might assist a person decide whether to seek medical attention or relax about a rash that is not dangerous. The purpose of this study is to aid in the early detection of skin cancer by clarifying the differences between skin cancer and rashes. Image classification has been used well in previous research to distinguish between different forms of skin cancer. This model uses a Convolutional Neural Network (CNN) to recognise and distinguish between skin cancer and rash photos. With an average accuracy of 80.2%, the model determined whether the image depicted skin cancer or a rash.

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Jain, Rituraj, Chakravarthi, M. Kalyan, Kumar, P. K., Hemakesavulu, O., Ramirez-Asis, Edwin, Pelaez-Diaz, Guillermo and Mahaveerakannan, R.. "Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system" Nonlinear Engineering, vol. 11, no. 1, pp. 582-589, 2022

Pradeep Reddy, Gogulamudi, Yellapragada Venkata Pavan Kumar, Maddikera Kalyan Chakravarthi, and Aymen Flah., "Refined Network Topology for Improved Reliability and Enhanced Dijkstra Algorithm for Optimal Path Selection during Link Failures in Cluster Microgrids" Sustainability 14, no. 16: 10367, 2022

Reddy, Gogulamudi Pradeep, Yellapragada Venkata Pavan Kumar, and Maddikera Kalyan Chakravarthi., "Communication Technologies for Interoperable Smart Microgrids in Urban Energy Community: A Broad Review of the State of the Art, Challenges, and Research Perspectives" Sensors 22, no. 15: 5881. 2022.

C. R. Mahesha, R. Suprabha, Nellore Manoj Kumar, Koushik Kosanam, Harishchander Anandaram, S. C. V. Ramana Murty Naidu, M. Kalyan Chakravarthi, Venkatesan Govindarajan, "Effect of Friction Stir Welding on the Mechanical and Microstructural Behaviour of AA7075 Aluminium Alloy", Advances in Materials Science and Engineering, vol. 2022, 8 pages, 2022.

Suman, R. S., Moccia, S., Chinnusamy, K., Singh, B., & Regin, R. (Eds.). (2023, February 10). Handbook of research on learning in language classrooms through ICT-based digital technology. Advances in Educational Technologies and Instructional Design. doi:10.4018/978-1-6684-6682-7

Joseph, F. J. J., Balas, V. E., Rajest, S. S., & Regin, R. (Eds.). (2023). Computational intelligence for clinical diagnosis (1st ed.). Cham, Switzerland: Springer International Publishing.

B. Deepa, K. Gayathiridevi, M. Kalyan Chakravarthi, A. Shajahan, B Shanti Sree, Mohammed Imran Anees, Mohammad Habeeb, ”Slow evaporation technique to grow 3 – Amino benzene sulfonic acid single crystal for Non-Linear optical (NLO) transmission”, Materials Today: Proceedings, Vol. 62, Part.4, pp.2119-2123, 2022.

A.Afroos Banu, S.Mani Naidu, Vinjamuri S.N. Ch.Dattu, G.Sridevi, M.Kalyan Chakravarthi, N.R.Rajagopalan,” Experimentally investigating the influence of static mixers on the performance of a solar water heater”, Materials Today: Proceedings, Vol. 62, Part. 4, pp. 2370-2375, 2022.

A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.

Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.

Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.

T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.

Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.

R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.

S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.

Priscila, S. S., Rajest, S. S., T, S. and G, G. (2022) “An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network”, Central Asian Journal of Medical and Natural Science, 3(6), pp. 343-360.

Regin, R., Rajest, S. S., T, S., & R, S. (2023). An Analytical Study of Development in Response to the COVID-19 Pandemic. Central Asian Journal of Medical and Natural Science, 4(1), 199-216.

Regin, R., Rajest, S. S., T, S., & R, S. (2023). A Review of Secure Neural Networks and Big Data Mining Applications in Financial Risk Assessment. Central Asian Journal of Innovations on Tourism Management and Finance, 4(2), 73-90.

T, S., Rajest, S. S., Regin, R., & R, S. (2023). A Review on Using Machine Learning to Conduct Facial Analysis in Real Time for Real-Time Profiling. International Journal of Human Computing Studies, 5(2), 18-37.

Rajest, S. S., Regin, R., T, S., & R, S. (2023). A New Natural Language Processing-Based Essay Grading Algorithm. International Journal on Integrated Education, 6(3), 1-22.

M. Siva Ramkumar, R. Priya, R. Felshiya Rajakumari, Prajoona Valsalan, M. Kalyan Chakravarthi, G. Charlyn Pushpa Latha, S. Mathupriya, Kavitha Rajan, "Review and Evaluation of Power Devices and Semiconductor Materials Based on Si, SiC, and Ga-N", Journal of Nanomaterials, vol. 2022, 7 pages, 2022.

S. Gowtham, T.Ch. Anil Kumar, N. S. M. P. Latha Devi, M. Kalyan Chakravarthi, S. Pradeep Kumar, R. Karthik, Harishchander Anandaram, N. Manoj Kumar, Kiran Ramaswamy, "A Survey on Additively Manufactured Nanocomposite Biomaterial for Orthopaedic Applications", Journal of Nanomaterials, vol. 2022, 7 pages, 2022.

Buragadda, S., Rani, K.S., Vasantha, S.V., Chakravarthi, M.K.,“HCUGAN: Hybrid Cyclic UNET GAN for Generating Augmented Synthetic Images of Chest X-Ray Images for Multi Classification of Lung Diseases”, International Journal of Engineering Trends and Technology, 70(2), pp. 229-238, 2022.

M., M., & Mesbah, S. (2016). Effective e-government and citizens adoption in Egypt. International Journal of Computer Applications, 133(7), 7–13.

Ead, W. M., & Abbassy, M. M. (2021). IOT based on plant diseases detection and classification. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).

Ead, W., & Abbassy, M. (2018). Intelligent Systems of Machine Learning Approaches for developing E-services portals. EAI Endorsed Transactions on Energy Web, 167292.

Sadek, R. A., Abd-alazeem, D. M., & Abbassy, M. M. (2021). A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks. International Journal of Advanced Computer Science and Applications, 12(11).

Derindere Köseoğlu, S., Ead, W. M., & Abbassy, M. M. (2022). Basics of Financial Data Analytics. Financial Data Analytics, 23–57.

Ead, W. M., & Abbassy, M. M. (2022). A general cyber hygiene approach for financial analytical environment. Financial Data Analytics, 369–384.

Abbassy, M. M., & Ead, W. M. (2020). Intelligent Greenhouse Management System. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS).

Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2013). Mobile hospitalization. International Journal of Computer Applications, 80(13), 18–23.

Abbassy,M.M., & Mohamed A.A.(2016). “Mobile Expert System to Detect Liver Disease Kind”, International Journal of Computer Applications, 14(5), 320–324.

Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2014). Mobile hospitalization for Kidney Transplantation. International Journal of Computer Applications, 92(6), 25–29.

Ead, W. M., Abbassy, M. M., & El-Abd, E. (2021). A general framework information loss of utility-based anonymization in Data Publishing. Turkish Journal of Computer and Mathematics Education, 12(5), 1450–1456.

Abbassy, M. M., & Abo-Alnadr, A. (2019). Rule-based emotion AI in Arabic Customer Review. International Journal of Advanced Computer Science and Applications, 10(9).

Abbassy, M. M. (2020). The human brain signal detection of Health Information System IN EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control. Journal of Advanced Research in Dynamical and Control Systems, 12(SP7), 858–868.

Abbassy, M. M. (2020). Opinion mining for Arabic customer feedback using machine learning. Journal of Advanced Research in Dynamical and Control Systems, 12(SP3), 209–217.

Hashem Shatnawi, “Computational Fluid Flow Model for the Development of an Arterial Bypass Graft”, CFD Lett., vol. 14, no. 10, pp. 99-111, Oct. 2022.

O. Fabela, S. Patil, S. Chintamani and B. H. Dennis, "Estimation of effective thermal conductivity of porous Media utilizing inverse heat transfer analysis on cylindrical configuration," in ASME 2017 International Mechanical Engineering Congress and Exposition, 2017.

S. Patil, S. Chintamani, B. Dennis and R. Kumar, "Real time prediction of internal temperature of heat generating bodies using neural network," Thermal Science and Engineering Progress, vol. 23, 2021.

S. Patil, S. Chintamani, J. Grisham, R. Kumar and B. H. Dennis, "Inverse Determination of Temperature Distribution in Partially Cooled Heat Generating Cylinder," in ASME 2015 International Mechanical Engineering Congress and Exposition, 2015.

S. Pandya, T. R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," in IEEE Transactions on Computational Social Systems.

M.Kalyan Chakravarthi, Nithya Venkatesan,”Experimental Transfer Function Based Multi-Loop Adaptive Shinskey PI Control For High Dimensional MIMO Systems”, Journal of Engineering Science and Technology, 16(5), pp.4006-4015, 2021.