Abstract
Fighting cancer is a life-time challenge for the cancer patient. Early prediction and diagnosis of cancer may extend the survival rate. The advent of artificial intelligence in medicine, especially in oncology, finds a new hope in cancer research. This chapter gives an insight into imaging techniques in cancer diagnosis, biopsy, and biomarker available for breast and lung cancer. Also, accombining data analysis with computer-aided techniques gives precise result and work on mass data. Evolutionary techniques, along with neural networks and data mining techniques, give improved localization of cancer detection. Particle Swarm Optimized Wavelet Neural Network is effective in spotting mass in mammogram images. Treatment methods of breast cancer, which includes chemotherapy, radiation therapy, is disclosed.
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Ramya, R., Siva Sakthi, A., Rajalakshmi, R., Preethi, M. (2023). Healthcare Technologies Serving Cancer Diagnosis and Treatment. In: Ram Kumar, C., Karthik, S. (eds) Translating Healthcare Through Intelligent Computational Methods. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-27700-9_18
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