Type
Funder
Country
—
Documents
12
through any edge
Papers
0
authorship edges
Awards made
21
21 grant numbers
Named as funder
12
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 Tri-Service General Hospital has funded
21 awards under 21 distinct grant numbers, across 9 documents. A further 12 documents name it as a funder without a grant number — a weaker claim, counted separately.
Complete, Fully Automatic Detection and Classification of Benign and Malignant Breast Tumors Based on CT Images Using Artificial Intelligent and Image Processinggrant MOST 110-2314-B-016-027 · 2023-02-16Complete, Fully Automatic Detection and Classification of Benign and Malignant Breast Tumors Based on CT Images Using Artificial Intelligent and Image Processinggrant TSGH-A-110002 · 2023-02-16Complete, Fully Automatic Detection and Classification of Benign and Malignant Breast Tumors Based on CT Images Using Artificial Intelligent and Image Processinggrant TSGH-NTUST-110-02 · 2023-02-16Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapygrant TSGH-A-111010 · 2023-08-06Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapygrant TSGH-A-112008 · 2023-08-06Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapygrant TSGH-D-109094 · 2023-08-06Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapygrant TSGH-D-110036 · 2023-08-06Advancing breast cancer subtyping: optimizing immunohistochemical staining classification with insights from real-world Taiwanese data.grant 801GB112190 · 2023-01-01Soft multiclass feature augmented deep learning to predict tumor origins using cytology or histology whole slide imagesgrant TSGH-A-113002 · 2026-04-13A TECHNOLOGY OF RENOGRAM DIVIDING BASED ON BLOOD VESSELS TO OBTAIN A MORE ACCURATE DIAGNOSISgrant TSGH-C108-094 · 2020-07-29
10 of 33 funding edges