---
license: apache-2.0
tags:
  - brain-mri
  - segmentation
  - medical-imaging
  - deep-learning
  - unet
base_model: "tf-keras/imagenet-mobilenetv2"
model-index:
  - name: Brain MRI Segmentation - FLAIR Abnormality Segmentation
    results:
      - task:
          type: image-segmentation
          name: Image Segmentation
        dataset:
          name: LGG Segmentation Dataset
          type: medical-imaging
          link: https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation
        metrics:
          - type: dice
            value: 0.843
            name: Dice Coefficient
          - type: iou
            value: 0.609
            name: Intersection over Union (IoU)
---

# Brain MRI Segmentation - FLAIR Abnormality Segmentation v1.0.0

This repository hosts the trained model for **FLAIR Abnormality Segmentation** in Brain MRI scans. The model is a U-Net architecture with a MobileNetV2 encoder pretrained on ImageNet, designed to segment FLAIR abnormalities from MRI images effectively.

## Model Details

- **Architecture:** U-Net with MobileNetV2 encoder and custom decoder layers.
- **Dataset:** [LGG Segmentation Dataset](https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation)
- **Version:** v1.0.0
- **Task:** Image Segmentation
- **License:** Apache 2.0