• Rohith Reddy
• Shrushti Gupta
• Shashank Ala
• Rasamsetti Sampath
• Chinta Sumanth

“Image processing algorithms are commonly employed in various medical domains to increase disease detection capability. Cancer is one of the most dangerous diseases, and early detection is a challenging task in medicine. The project is based on breast cancer samples. After a comparative examination of commonly used methods in each category, an appropriate and efficient approach is adopted in each of the design processes of the proposed framework. Typically, the cancer detection method entails classifying the image biopsy as malignant or benign. Many abnormalities are observed and classified in microscopic biopsy image analysis by doctors and pathologists based on various characteristics of the cell nuclei, such as shape, size, and proportion of nucleus to the cytoplasm.”[

Image processing, Microscopic Biopsy Images, Cancer-Detection

"Breast Cancer Detection using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b625-b640, April-2022, Available :http://www.jetir.org/papers/JETIR2204178.pdf

"Breast 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.9, Issue 4, page no. ppb625-b640, April-2022, Available at : http://www.jetir.org/papers/JETIR2204178.pdf