Work

Non-destructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment

Year: 2022

Type: preprint

Study design: Observational Study

Source: Research Square

DOI: 10.21203/rs.3.rs-1979367/v1

Authors: Robert Serafin, Can Konyuncu, Weisi Xie, Hongyi Huang, Adam Glaser, Nicholas Reder, Andrew Janowczyk, Lawrence True, Anant Madabhushi, Jonathan Liu

Institutions: Georgia Institute of Technology, Emory University, University of Washington, Case Western Reserve University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, U.S. Department of Defense, U.S. Department of Veterans Affairs, Prostate Cancer Foundation, Pancreatic Cancer UK, National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences, DOD Prostate Cancer Research Program

Awards: RadxTools for assessing tumor treatment response on imaging, G1055290886, G1227700689, G1266336578, G1478154455, G1505200503, Pathology Image Informatics Platform for visualization, analysis and management, G2228475719, G2689512122, G2891005273, G2931214990, G3068466812, LIGHT-SHEET MICROSCOPY: IDENTIFICATION AND MOLECULAR CHARACTERIZATION OF PROSTATE CARCINOMA WITH DE NOVO RESISTANT TO TOTAL ANDROGEN ABLATIVE THERAPY, G338730684, G3564444776, G3631430387, G3996337124, G4119534169, G4933288913, G496861667, HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification, G5551526905, G5662141485, G5850682332, RACE-SPECIFIC 3D COMPUTATIONAL PATHOLOGY BIOMARKERS FOR PREDICTING PROSTATE CANCER-SPECIFIC RECURRENCE, HDR: I-DIRSE-FW: Accelerating the Engineering Design and Manufacturing Life-Cycle with Data Science, G6328431212, G6471820709, G690570908, Computer-Assisted Histologic Evaluation of Cardiac Allograft Rejection, G7448966117, G7930908297, G9000023124, G9000023716, G9000064077, G9000095745, G9000211933, G9000263192, Novel Radiomics for Predicting Response to Immunotherapy for Lung Cancer, G949296313

OpenAlex ID: W4293242478

Cites: 59

Cited by:

Related to: 10