Model Fine-Tuning
Enhancing cancer detection through advanced model fine-tuning and diverse medical data integration.
The deep learning-based image segmentation algorithm 3D U-Net and Transformer architecture can identify tiny nodules, calcifications, etc. in CTMRI and breast mammography with a sensitivity of over 95%.The AI model identifies early mutation characteristics of colorectal cancer and pancreatic cancer through ctDNA fragmentation patterns in blood samples.
Model Fine-Tuning Services
We specialize in fine-tuning models using diverse medical datasets for enhanced accuracy.
Hyperparameter Optimization
Adjusting parameters for optimal model performance and accuracy in medical imaging.
Transfer Learning Techniques
Utilizing pre-trained models to improve learning efficiency and outcomes in cancer detection.
Data Preprocessing
Enhancing medical images and normalizing records for better model training and results.