State-of-the-art review on deep learning in medical imaging.
By Mainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, Damodar Reddy Edla, Harman S. Suri, E. Cuadrado-Godia, John R. Laird, Rui Tato Marinhoe, J. Sanches, Andrew Nicolaides and 1 more. 2019
184 citations recorded by the source corpus.
Deep learning (DL) is affecting each and every sphere of public and private lives and becoming a tool for daily use. The power of DL lies in the fact that it tries to imitate the activities of neurons in the neocortex of human brain where the thought process takes place. Therefore, like the brain, it tries to learn and recognize patterns in the form of digital images. This power is built on the depth of many layers of computing neurons backed by high power processors and graphics processing units (GPUs) easily available today. In the current scenario, we have provided detailed survey of various types of DL systems available today, and specifically, we have concentrated our efforts on current applications of DL in medical imaging. We have also focused our efforts on explaining the readers the rapid transition of technology from machine learning to DL and have tried our best in reasoning this paradigm shift. Further, a detailed analysis of complexities involved in this shift and possible benefits accrued by the users and developers.
Subfields: Neurology, Radiology, Nuclear Medicine and Imaging
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Citations in the corpus
- The present and future of deep learning in radiology. (2019, background): “The detailed working of each model is provided [63].”
- Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022, background): “tomography, and positron emission tomography [47], [48], which are already commercialized in medical scanner systems.”
- Deep learning in generating radiology reports: A survey (2020, unknown): “[50] classifies DL models based on application area, including cardiovascular, neurology, mammography, microscopy, dermatology, gastroenterology, and pulmonary applications.”