SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images is a research paper published in Frontiers in Oncology (2021). On theSindex it has a DataRank of 0. It has been cited 35 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Rosetrees Trust
Grant: M593
Instituto de Salud Carlos III
Grant: PI17/01558
European Regional Development Fund
Grant: CB16/12/00484
Cancer Research UK
Grant: C45982/A21808
Breast Cancer Now
Grant: 2015NovPR638
European Commission
Grant: H2020-MSCA-ITN-2019
Wellcome Trust
Grant: 105104/Z/14/Z
CHILDREN with CANCER UK
Grant: 2014/176
Children with Cancer UK
Grant: 14-176
National Institutes of Health
Grant: 5R01CA185138-03
(PQC3) Genomic Diversity and Microenvironment as Drivers of Metastasis in DCIS
National Institutes of Health
Grant: 5U54CA217376-05
Arizona Cancer and Evolution Center (ACE)
Wellcome Trust
Grant: unidentified
unidentified
Wellcome Trust
Grant: 105104
Evolutionary biology of cancer.
Wellcome Trust
FWCI
3.21
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals