Deep learning for medical image analysis. Rezaei, M., Yang, H., & Meinel, C. August, 2017. arXiv:1708.08987 [cs]
Deep learning for medical image analysis [link]Paper  abstract   bibtex   
This report describes my research activities in the Hasso Plattner Institute and summarizes my Ph.D. plan and several novels, end-to-end trainable approaches for analyzing medical images using deep learning algorithm. In this report, as an example, we explore different novel methods based on deep learning for brain abnormality detection, recognition, and segmentation. This report prepared for the doctoral consortium in the AIME-2017 conference.
@misc{rezaei_deep_2017,
	title = {Deep learning for medical image analysis},
	url = {http://arxiv.org/abs/1708.08987},
	abstract = {This report describes my research activities in the Hasso Plattner Institute and summarizes my Ph.D. plan and several novels, end-to-end trainable approaches for analyzing medical images using deep learning algorithm. In this report, as an example, we explore different novel methods based on deep learning for brain abnormality detection, recognition, and segmentation. This report prepared for the doctoral consortium in the AIME-2017 conference.},
	language = {en},
	urldate = {2023-12-11},
	publisher = {arXiv},
	author = {Rezaei, Mina and Yang, Haojin and Meinel, Christoph},
	month = aug,
	year = {2017},
	note = {arXiv:1708.08987 [cs]},
	keywords = {/unread, Computer Science - Computer Vision and Pattern Recognition},
}

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