• Shital Patil
• Surendra Bhosale

Machine learning has a vital role in Image Analysis and Computer Vision field. Problems ranging from image segmentation, image registration to structure-from-motion, object recognition and scene understanding use machine learning techniques to analyze information from visual data. The medical image analysis is growing field of deep learning. DL techniques and their applications to medical image analysis includes standard ML techniques in the computer vision field, ML models in deep learning and applications to medical image analysis. One of the most recently use of ML in computer aided diagnosis and medical image analysis is the classification of objects such as lesions into certain classes based on input features like contrast, area obtained from segmented objects. Artificial neural network conceptually inspired by neural systems. The important deep-learning techniques including the Neocognitron, CNNs, neural filters. ML with image input including deep learning is a useful technology with higher performance. The deep learning will become the mainstream technology in medical image analysis in upcoming decades.

Convolutional neural networks (CNNs), ANN, CBIR, Medical image analysis, Machine learning, Deep Learning.

"Deep learning applications for analysis in Medical Imaging and Computer Vision ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.258-264, June 2019, Available :http://www.jetir.org/papers/JETIR1906H12.pdf

"Deep learning applications for analysis in Medical Imaging and Computer Vision ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp258-264, June 2019, Available at : http://www.jetir.org/papers/JETIR1906H12.pdf