A Deep Learning Approach to Analysis of Kidney Transplant Frozen Sections
Publication
, Conference
Davis, R; Lafata, K; Li, X; Souma, N; Howell, D; Shen, X; Barisoni, L
Published in: MODERN PATHOLOGY
March 1, 2020
Duke Scholars
Published In
MODERN PATHOLOGY
EISSN
1530-0285
ISSN
0893-3952
Publication Date
March 1, 2020
Volume
33
Issue
SUPPL 2
Start / End Page
1573 / 1573
Location
Los Angeles, CA
Publisher
NATURE PUBLISHING GROUP
Conference Name
109th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP)
Related Subject Headings
- Pathology
- 3202 Clinical sciences
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Davis, R., Lafata, K., Li, X., Souma, N., Howell, D., Shen, X., & Barisoni, L. (2020). A Deep Learning Approach to Analysis of Kidney Transplant Frozen Sections. In MODERN PATHOLOGY (Vol. 33, pp. 1573–1573). Los Angeles, CA: NATURE PUBLISHING GROUP.
Davis, Richard, Kyle Lafata, Xiang Li, Nao Souma, David Howell, Xiling Shen, and Laura Barisoni. “A Deep Learning Approach to Analysis of Kidney Transplant Frozen Sections.” In MODERN PATHOLOGY, 33:1573–1573. NATURE PUBLISHING GROUP, 2020.
Davis R, Lafata K, Li X, Souma N, Howell D, Shen X, et al. A Deep Learning Approach to Analysis of Kidney Transplant Frozen Sections. In: MODERN PATHOLOGY. NATURE PUBLISHING GROUP; 2020. p. 1573–1573.
Davis, Richard, et al. “A Deep Learning Approach to Analysis of Kidney Transplant Frozen Sections.” MODERN PATHOLOGY, vol. 33, no. SUPPL 2, NATURE PUBLISHING GROUP, 2020, pp. 1573–1573.
Davis R, Lafata K, Li X, Souma N, Howell D, Shen X, Barisoni L. A Deep Learning Approach to Analysis of Kidney Transplant Frozen Sections. MODERN PATHOLOGY. NATURE PUBLISHING GROUP; 2020. p. 1573–1573.
Published In
MODERN PATHOLOGY
EISSN
1530-0285
ISSN
0893-3952
Publication Date
March 1, 2020
Volume
33
Issue
SUPPL 2
Start / End Page
1573 / 1573
Location
Los Angeles, CA
Publisher
NATURE PUBLISHING GROUP
Conference Name
109th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP)
Related Subject Headings
- Pathology
- 3202 Clinical sciences
- 11 Medical and Health Sciences