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Volume : X, Issue : VII, August - 2020 DEEP LEARNING APPROACHES FOR MEDICAL IMAGE CLASSIFICATION Bhagyashree Manohar, Dr. Milind Singh By : Laxmi Book Publication Abstract : Medical image classification plays a vital role in modern healthcare by assisting doctors in accurate and early disease diagnosis. Traditional image analysis methods often require manual feature extraction and expert knowledge, which can be time-consuming and less efficient. Keywords : Article : Cite This Article : Bhagyashree Manohar, Dr. Milind Singh(2020). DEEP LEARNING APPROACHES FOR MEDICAL IMAGE CLASSIFICATION. Indian Streams Research Journal, Vol. X, Issue. VII, http://isrj.org/UploadedData/11796.pdf References : - Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017
- Shen, D., Wu, G., & Suk, H. I. (2017). Deep learning in medical image analysis. Annual Review of Biomedical Engineering, 19, 221–248.
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