Type
Funder
Country
—
Documents
30
through any edge
Papers
0
authorship edges
Awards made
23
9 grant numbers
Named as funder
30
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Tulane University has funded
23 awards under 9 distinct grant numbers, across 5 documents. A further 30 documents name it as a funder without a grant number — a weaker claim, counted separately.
Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant P20GM109036 · 2020-03-17Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant R01AR059781 · 2020-03-17Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant R01AR069055 · 2020-03-17Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant R01GM109068 · 2020-03-17Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant R01MH104680 · 2020-03-17Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant R01MH107354 · 2020-03-17Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligencegrant U19AG055373 · 2020-03-17Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligencegrant P20GM109036 · 2021-03-22Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligencegrant R01AR059781 · 2021-03-22Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligencegrant R01AR069055 · 2021-03-22
10 of 53 funding edges