Type
Funder
Country
—
Documents
9
through any edge
Papers
0
authorship edges
Awards made
12
10 grant numbers
Named as funder
9
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 Changhua Christian Hospital has funded
12 awards under 10 distinct grant numbers, across 8 documents. A further 9 documents name it as a funder without a grant number — a weaker claim, counted separately.
Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3+grant 111-CCH-IRP-023 · 2022-07-18SaBrcada: Survival Intervals Prediction for Breast Cancer Patients by Dimension Raising and Age Stratificationgrant NCHU-CCH 11006 · 2023-05-29Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implicationsgrant 112-CCH-IRP-117 · 2024-12-20Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implicationsgrant 113-CCH-IRP-026 · 2024-12-20Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessmentgrant 111-CCH-HCR-142 · 2024-05-16Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessmentgrant 112-CCH-IRP-117 · 2024-05-16Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessmentgrant MOST 112-2221-E-035-057 · 2024-05-16Optimizing Diabetes Diagnosis Through Pulse Waveform Analysis and Data Mininggrant 112-CCH-IRP-124 · 2025-11-23Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Frameworkgrant 110-CCH-IRP-012 · 2023-05-25Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Frameworkgrant 112-CCH-IRP-117 · 2023-05-25
10 of 21 funding edges