Computerized algorithms and solutions in processing and diagnosis mammographyX-ray, cardiovascular CT/MRI scans, and microscopy image play an important role in disease detection and computer-aided decision-making. Machine learning techniques have powered many aspects in medical investigations and clini- cal practice. Recently, deep learning is emerging a leading machine learning tool in computer vision and begins attracting considerable attentions in medical imaging. In this chapter, we provide a snapshot of this fast growing field specifically for mam- mography, cardiovascular, and microscopy image analysis. We briefly explain the popular deep neural networks and summarize current deep learning achievements in various tasks such as detection, segmentation, and classification in these heteroge- neous imaging modalities. In addition, we discuss the challenges and the potential future trends for ongoing work. 2.1
CITATION STYLE
Dhungel, N., Carneiro, G., & Bradley, A. P. (2017). Combining Deep Learning and Structured Prediction. Deep Learning and Convolutional Neural Networks for Medical Image Computing, 225–240. Retrieved from http://link.springer.com/10.1007/978-3-319-42999-1
Mendeley helps you to discover research relevant for your work.