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AI for Good Innovate for Impact
Use Case 11: Necrosis Detection in Meningioma Images�
Country: India
Organization: International Institute of Information Technology (IIIT) Bangalore
Contact Person(s):
Hitesha Mukherjee hitesha144@ gmail .com
TK Srikanth tk.srikanth@ iiitb .ac .in
Ramesh Kestur rameshkestur@ iiitb .ac .in
Anita Mahadevan mahadevananita@ gmail .com
Nandeesh BN bnnandeesh3@ gmail .com
Shilpa Rao shilpagk.rao@ gmail .com
1 Use Case Summary Table
Item Details
Category Healthcare
Problem to be addressed Addressing the need for a robust Artificial Intelligence
(AI) pipeline that would be useful in the detection of Brain
Tumours to reduce the workload of pathologists
Key aspects of solution Machine Learning (ML) and Ensemble Pipelines in Necro-
sis Detection in Meningioma Histopathological Images
Technology keywords Necrosis, Medical Image Analysis, Histopathogical
Images, Meningioma, Brain Cancer, AI for Cancer,
Machine Learning for Healthcare
Data Availability Private
Metadata (type of data) Image Data
Model Training and Fine-Tuning Created a pipeline of AI Algorithms
Testbeds or Pilot Deployments Hosted on University Servers
Code repositories Private repositories
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