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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