HER2 Grading of Breast Cancer Patients
Our lab handles large-scale data to extract meaningful insights through statistical modeling, predictive analysis, and data visualization. We aim to support data-driven decision making.
Active Research Grants
Currently funded projects in this research area
Multimodal AI for Breast Cancer Subtype Analysis and Precision Therapy Recommendation
Kochi University of Technology, Japan
This project aims to develop a multimodal AI system that analyzes diverse breast cancer data—including histopathology, clinical, genetic, and imaging data—to accurately determine cancer subtypes and recommend personalized treatment. The …
Completed Research Grants
Successfully completed funded projects
Low-cost and Rapid HER2 Grading of Breast Cancer Patients in Bangladesh
Ministry of Education, Bangladesh
Practical Image Quality Evaluation for Whole Slide Image Analysis
MURATA Science Foundation Research Grant, Japan
Related Research Projects
Explore other areas of our research
Multimodal AI for Breast Cancer Subtype Analysis and Precision Therapy Recommendation
This project aims to develop a multimodal AI system that analyzes diverse breast cancer …
Automated Diganosis Pipeline for Breast Cancer Metastasis Assessment
This research aims to develop an AI-guided automated pipeline for assessing breast cancer metastases in distant and axillary lymph nodes using …
Residual Tumor Cellularity Assessment After Neoadjuvant Therapy
Residual Tumor Cellularity (RTC) assessment after neoadjuvant therapy is essential for evaluating treatment response and …
AI-guided Solution for Selecting Ovarian Cancer Patients for Bevacizumab Monoclonal Therapy
Ovarian cancer treatment outcomes can vary significantly among patients, making personalized therapy selection crucial. This …
Interested in Collaborating?
We welcome collaborations and partnerships in this research area