File size: 1,341 Bytes
4e29c4d b77a7a9 5f4232a 4e29c4d b77a7a9 c6b851c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
---
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
|