Deep Learning–Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma-Reference-Cited by-同舟云学术

Deep Learning–Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma

Published:2022-12 Issue:12 Volume:192 Page:1763-1778
ISSN:0002-9440
Container-title:The American Journal of Pathology
language:en
Short-container-title:The American Journal of Pathology

Author:

Chuang Wen-Yu^ORCID,Yu Wei-Hsiang^ORCID,Lee Yen-Chen,Zhang Qun-Yi,Chang Hung^ORCID,Shih Lee-Yung^ORCID,Yeh Chi-Ju,Lin Samuel Mu-Tse,Chang Shang-Hung^ORCID,Ueng Shir-Hwa^ORCID,Wang Tong-Hong^ORCID,Hsueh Chuen,Kuo Chang-Fu,Chuang Shih-Sung^ORCID,Yeh Chao-Yuan^ORCID

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine

Reference37 articles.

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4. Pleomorphic mantle cell lymphoma morphologically mimicking diffuse large B cell lymphoma: common cyclin D1 negativity and a simple immunohistochemical algorithm to avoid the diagnostic pitfall;Chuang;Histopathology,2017

5. Identification of CD5/cyclin D1 double-negative pleomorphic mantle cell lymphoma: a clinicopathologic, genetic, and gene expression study;Chuang;Am J Surg Pathol,2020

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