Abstract
Breast cancer starts when cells in the breast begin to grow out of control. These cells usually form a tumor that can often be seen on an x-ray or felt as a lump. The tumor is malignant (cancer) if the cells can grow into (invade) surrounding tissues or spread (metastasize) to distant areas of the body. The challenge of this project was to build an algorithm by using a neural network to automatically identify whether a patient is suffering from breast cancer by looking at biopsy images. The algorithm must be accurate because the lives of people are at stake.
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Acknowledgment
This research has been partially supported by NSERC, the Natural Sciences and Engineering Research Council of Canada. The authors would also like to thank the Office of Research and Innovation Services at the University of Windsor.
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Shah, M.A., Nour, A., Ngom, A., Rueda, L. (2020). Cancer Detection Based on Image Classification by Using Convolution Neural Network. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2020. Lecture Notes in Computer Science(), vol 12108. Springer, Cham. https://doi.org/10.1007/978-3-030-45385-5_25
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