Liver Disease Image Detection by Segmentation Analysis
Objective
Identify and segment liver-related anomalies from imaging datasets to support faster screening.
Approach
- Data curation and normalization for medical images.
- Semantic segmentation model training with augmentation.
- Post-processing and visual overlay for explainable output.
Training Snapshot
Tech Stack
Python, OpenMMLab, TensorFlow/Keras, image processing libraries.