Machine versus Human: Deep Learning to Automatically Detect and Diagnose Pediatric Brain Tumors in a Large Multi-Institutional Study
Conferences
Quon, JL; Bala, W; Chen, L; Kim, L; Han, M; Shpanskaya, K; Lee, E; Grant, G; Edwards, M; Cheshier, S; Yeom, K
Published in: JOURNAL OF NEUROSURGERY
April 2020
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Published In
JOURNAL OF NEUROSURGERY
EISSN
1933-0693
ISSN
0022-3085
Publication Date
April 2020
Volume
132
Issue
4
Start / End Page
40 / 40
Related Subject Headings
- Neurology & Neurosurgery
- 3209 Neurosciences
- 3202 Clinical sciences
Citation
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Quon, J. L., Bala, W., Chen, L., Kim, L., Han, M., Shpanskaya, K., … Yeom, K. (2020). Machine versus Human: Deep Learning to Automatically Detect and Diagnose Pediatric Brain Tumors in a Large Multi-Institutional Study. In JOURNAL OF NEUROSURGERY (Vol. 132, pp. 40–40).
Quon, Jennifer Lauren, Wasif Bala, Leo Chen, Lily Kim, Michelle Han, Katie Shpanskaya, Edward Lee, et al. “Machine versus Human: Deep Learning to Automatically Detect and Diagnose Pediatric Brain Tumors in a Large Multi-Institutional Study.” In JOURNAL OF NEUROSURGERY, 132:40–40, 2020.
Quon JL, Bala W, Chen L, Kim L, Han M, Shpanskaya K, et al. Machine versus Human: Deep Learning to Automatically Detect and Diagnose Pediatric Brain Tumors in a Large Multi-Institutional Study. In: JOURNAL OF NEUROSURGERY. 2020. p. 40–40.
Quon, Jennifer Lauren, et al. “Machine versus Human: Deep Learning to Automatically Detect and Diagnose Pediatric Brain Tumors in a Large Multi-Institutional Study.” JOURNAL OF NEUROSURGERY, vol. 132, no. 4, 2020, pp. 40–40.
Quon JL, Bala W, Chen L, Kim L, Han M, Shpanskaya K, Lee E, Grant G, Edwards M, Cheshier S, Yeom K. Machine versus Human: Deep Learning to Automatically Detect and Diagnose Pediatric Brain Tumors in a Large Multi-Institutional Study. JOURNAL OF NEUROSURGERY. 2020. p. 40–40.
Published In
JOURNAL OF NEUROSURGERY
EISSN
1933-0693
ISSN
0022-3085
Publication Date
April 2020
Volume
132
Issue
4
Start / End Page
40 / 40
Related Subject Headings
- Neurology & Neurosurgery
- 3209 Neurosciences
- 3202 Clinical sciences