updated README.

Added description and model details.

README.md

@@ -3,12 +3,9 @@ license: apache-2.0
 tags:
   - brain-mri
   - segmentation
-  - FLAIR-abnormality
   - medical-imaging
   - deep-learning
   - unet
-datasets:
-  - mateuszbuda/lgg-mri-segmentation
 base_model: "tf-keras/imagenet-mobilenetv2"
 model-index:
   - name: Brain MRI Segmentation - FLAIR Abnormality Segmentation
@@ -28,3 +25,15 @@ model-index:
             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