Computer vision quantitation of erythrocyte shape abnormalities provides diagnostic, prognostic, and mechanistic insight.

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Bibliographic Details
Title: Computer vision quantitation of erythrocyte shape abnormalities provides diagnostic, prognostic, and mechanistic insight.
Authors: Foy BH; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Department of Systems Biology, Harvard Medical School, Boston, MA., Stefely JA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Blood Transfusion Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Bendapudi PK; Blood Transfusion Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Division of Hematology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Hasserjian RP; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Al-Samkari H; Division of Hematology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Louissaint A; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Fitzpatrick MJ; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Hutchison B; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Mow C; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Mass General Brigham Enterprise Research IS, Boston, MA., Collins J; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Patel HR; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Patel CH; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Patel N; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Ho SN; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Kaufman RM; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA., Dzik WH; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Blood Transfusion Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Higgins JM; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Department of Systems Biology, Harvard Medical School, Boston, MA., Makar RS; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Blood Transfusion Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Source: Blood advances [Blood Adv] 2023 Aug 22; Vol. 7 (16), pp. 4621-4630.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Society of Hematology Country of Publication: United States NLM ID: 101698425 Publication Model: Print Cited Medium: Internet ISSN: 2473-9537 (Electronic) Linking ISSN: 24739529 NLM ISO Abbreviation: Blood Adv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2473-9537
DOI:10.1182/bloodadvances.2022008967