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---
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license: apache-2.0
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tags:
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- brain-mri
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- segmentation
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- medical-imaging
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- deep-learning
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- unet
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base_model: "tf-keras/imagenet-mobilenetv2"
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model-index:
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- name: Brain MRI Segmentation - FLAIR Abnormality Segmentation
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results:
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- task:
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type: image-segmentation
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name: Image Segmentation
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dataset:
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name: LGG Segmentation Dataset
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type: medical-imaging
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link: https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation
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metrics:
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- type: dice
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value: 0.843
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name: Dice Coefficient
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- type: iou
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value: 0.609
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name: Intersection over Union (IoU)
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---
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# Brain MRI Segmentation - FLAIR Abnormality Segmentation v1.0.0
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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.
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## Model Details
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- **Architecture:** U-Net with MobileNetV2 encoder and custom decoder layers.
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- **Dataset:** [LGG Segmentation Dataset](https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation)
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- **Version:** v1.0.0
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- **Task:** Image Segmentation
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- **License:** Apache 2.0
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