AI-based Cancer Screening Solution
The Problem Statement
A healthcare service provider giant was in need of an AI-powered solution which can automatically detect malignant tumors by integrating with different imaging modalities.
The Solution
KritiKal Solutions developed a sophisticated early cancer screening solution that differentiates between malignant cells from benign tumor cells by utilizing neural network models. It enhances the diagnostic process and accurately identifies potential malignancies by integrating models across different medical imaging techniques. Hematological disorders indicated by abnormal patterns can be easily detected by AI models that efficiently analyze large-scale microscopic slides and radiological images. The Machine Learning algorithm-powered solution has revolutionized visual imaging and cancer detection with a data-driven approach to identify malignancies, thus improving patient care and transforming cancer diagnostics.
Benefits Delivered
With this cost-effective early cancer screening solution, businesses in the healthcare domain can automate and enhance patient diagnostics. The AI-based system quickly and accurately identifies potential malignancies by integrating with various types of medical imaging techniques, thus assisting radiologists, embryologists and cancer specialists in decision-making.
Technology Used
- Image Processing
- Image Segmentation and Classification DL Models
- ReactJS, HTML and CSS
- Python and PyTorch