Paper Details

Paper Title

Weakly-supervised tumor purity prediction from frozen H&E stained slides.

Paper Journal Title

EBioMedicine

Paper Citation Count

Paper Publication Year

2022

Bio Mention

Cancer, Starr Cancer, cancer, eosin, hematoxylin, prostate adenocarcinoma, tumor, tumors

Mesh Descriptor

Cohort Studies, Genome, High-Throughput Nucleotide Sequencing, Humans, Male, Prostatic Neoplasms

Author Name	Affiliation
Matthew Brendel	Institute for Computational Biomedicine
Vanesa Getseva	Institute for Computational Biomedicine, Ramapo College of New Jersey
Majd Al Assaad	Englander Institute for Precision Medicine
Michael Sigouros	Englander Institute for Precision Medicine
Alexandros Sigaras	Institute for Computational Biomedicine, USA Englander Institute for Precision Medicine
Troy Kane	Englander Institute for Precision Medicine
Pegah Khosravi	Institute for Computational Biomedicine, USA Englander Institute for Precision Medicine, Memorial Sloan Kettering Cancer Center
Juan Miguel Mosquera	Englander Institute for Precision Medicine
Juan Miguel Mosquera	Englander Institute for Precision Medicine
Olivier Elemento	Institute for Computational Biomedicine, USA Englander Institute for Precision Medicine, USA The Meyer Cancer Center
Olivier Elemento	Institute for Computational Biomedicine, USA Englander Institute for Precision Medicine, USA The Meyer Cancer Center
Iman Hajirasouliha	Institute for Computational Biomedicine, USA Englander Institute for Precision Medicine, USA The Meyer Cancer Center

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