• D.PRATHYUSHA
• D.GOWRI SANKAR REDDY

Bone cancer is a dreadful disease that claims the lives of numerous people. The detection and classification system must be easily available in order to identify cancer at an early stage. Early detection seems to merely boost the patient's chance of surviving cancer. The categorization of cancer is one of the most challenging tasks in clinical diagnosis. This study focuses on a system that analyses magnetic resonance images (MRI) of various people to spot cancers and classify cancer using convolutional neural networks. The proposed approach uses automatic feature extraction, classification, and image processing techniques to detect bone cancer. The process required for cancer detection and classification will be greatly accelerated by the suggested method. Using CNN for classification is better than the existing methods which uses Artificial neural networks.

Bone cancer, Preprocessing Techniques, Feature Extraction, Convolutional neural network etc.

"BONE CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i558-i563, June-2023, Available :http://www.jetir.org/papers/JETIR2306857.pdf

"BONE CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi558-i563, June-2023, Available at : http://www.jetir.org/papers/JETIR2306857.pdf