Yijiang Chen
Case Western Reserve University
3 Papers
Yijiang Chen is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Digital pathology & Computer science. The author has an hindex of 3, co-authored 3 publications.
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Papers
Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains.
Catherine P. Jayapandian,Yijiang Chen,Andrew Janowczyk,Andrew Janowczyk,Matthew B. Palmer,Clarissa A. Cassol,Miroslav Sekulic,Miroslav Sekulic,Jeffrey B. Hodgin,Jarcy Zee,Stephen M. Hewitt,John F. O’Toole,Paula Toro,John R. Sedor,John R. Sedor,Laura Barisoni,Anant Madabhushi,Anant Madabhushi,John R. Sedor,Katherine MacRae Dell,M. Schachere,J. Negrey,Kevin V. Lemley,E. Lim,Tarak Srivastava,A. Garrett,Christine B. Sethna,K. Laurent,G B Appel,M. Toledo,L. Barisoni,Lawrence A. Greenbaum,Chia-shi Wang,C. Kang,Sharon G. Adler,Cynthia C. Nast,J. LaPage,John H. Stroger,Ambarish M. Athavale,Mathew Itteera,Alicia M. Neu,S. Boynton,Fernando C. Fervenza,Marie C. Hogan,John C. Lieske,Vladimir Chernitskiy,Frederick J. Kaskel,N. Kumar,P. Flynn,Jeffrey B. Kopp,J. Blake,Howard Trachtman,Olga Zhdanova,Frank Modersitzki,Suzanne Vento,Richard A. Lafayette,Kshama R. Mehta,Crystal A. Gadegbeku,Duncan B. Johnstone,S. Quinn-Boyle,Dan Cattran,Michelle Hladunewich,Heather N. Reich,P. Ling,M. Romano,Alessia Fornoni,C. Bidot,Matthias Kretzler,Deb Gipson,A. Williams,J. LaVigne,Vimal K. Derebail,Keisha L. Gibson,Anne Froment,S. Grubbs,Lawrence B. Holzman,Kevin E.C. Meyers,Krishna Kallem,J. Lalli,Kamal Sambandam,Z. Wang,M. Rogers,A. Jefferson,Sangeeta Hingorani,Katherine R. Tuttle,M. Bray,M. Kelton,A. Cooper,Barry I. Freedman,Jen Jar Lin +89 more
TL;DR: This largest study to date adapted deep learning for the segmentation of kidney histologic structures across multiple stains and pathology laboratories and validated deep learning networks for the segmentsation of histologic structure on kidney biopsies and nephrectomies.
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Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies.
Yijiang Chen,Jarcy Zee,Abigail R. Smith,Catherine P. Jayapandian,Jeffrey B. Hodgin,David N. Howell,Matthew B. Palmer,David B. Thomas,Clarissa A. Cassol,Alton B. Farris,Kathryn Perkinson,Anant Madabhushi,Anant Madabhushi,Laura Barisoni,Andrew Janowczyk,Andrew Janowczyk +15 more
TL;DR: It is suggested that quantitative QC is a necessary step in the curation of digital pathology cohorts and statistically significant batch effects in the NEPTUNE WSI dataset were discovered.
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Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.
Yijiang Chen,Andrew Janowczyk,Andrew Janowczyk,Anant Madabhushi,Anant Madabhushi +4 more
- 10 Mar 2020
TL;DR: In low-resource settings, DP images can be significantly compressed before transmission for DL-based telepathology applications, and the maximum compression level sustainable by DL algorithms is similar to where pathologists also reported difficulties in providing accurate interpretations.
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