Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning is a research paper published in Gastroenterology (2020). On theSindex it has a DataRank of 0.892. It has been cited 381 times.
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Base Score Contribution
0.892
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →RWTH Aachen University
Grant: START 2018-691906
RWTH Aachen University
Grant: 70113864
Bundesministerium für Bildung und Forschung
Grant: STOP-FSGS-01GM1901A
National Institute of Dental and Craniofacial Research
Grant: IRG-16-222-56
National Institute of Dental and Craniofacial Research
Grant: K08-DE026500
Yorkshire Cancer Research
Grant: L394
Yorkshire Cancer Research
Grant: L386
Comprehensive Cancer Center, University of Chicago Medical Center
Grant: P30-CA14599
European Research Council
Grant: 771083
How cellular suicide programmes control phase transitions in fatty liver disease and liver cancer
Deutsche Forschungsgemeinschaft
Grant: SFB-TRR57/P06
Deutsche Forschungsgemeinschaft
Grant: SFB CRC1382/P01
Deutsche Forschungsgemeinschaft
Grant: LU 1360/3-1
NCI NIH HHS
Grant: P30 CA014599
NIDCR NIH HHS
Grant: K08 DE026500
National Institute for Health Research (NIHR)
Grant: NF-SI-0514-10070
National Institutes of Health
Grant: 3P30CA014599-36S1
Cancer Center Support Grant
National Institutes of Health
Grant: 5K08DE026500-03
A reasoned approach to combination therapy development in head and neck cancer
Deutsche Forschungsgemeinschaft
Grant: unidentified
unidentified
Bundesministerium für Wirtschaft und Energie
Medizinische Fakultät, RWTH Aachen University
National Institute for Health Research (NIHR)
American Cancer Society
Horizon 2020
National Institutes of Health
Cancer Research Foundation
Deutsche Krebshilfe
Department of Health
FWCI
30.61
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
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Additional file 5 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
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Additional file 6 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 6 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 1 of Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Additional file 1 of Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Additional file 2 of Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
Additional file 2 of Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
Additional file 3 of Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
Additional file 3 of Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
Additional file 4 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 4 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 2 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 1 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 3 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Additional file 2 of CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study