preethamganesh
/

bms-flair-abnormality-classification-v1.2.0

medical-imaging

Model card Files Files and versions

Preetham Ganesh commited on Jan 22

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updated README.

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@@ -22,7 +22,7 @@ model-index:
             name: Accuracy
 ---
-# Brain MRI Classification - FLAIR Abnormality Classification v1.0.0
 This repository hosts the trained model for **FLAIR Abnormality Classification** in Brain MRI scans. The model is a CNN-based architecture designed to classify Brain MRI images as normal or abnormal (FLAIR abnormality).
@@ -30,7 +30,7 @@ This repository hosts the trained model for **FLAIR Abnormality Classification**
 - **Architecture:** A CNN model that classifies whether a given Brain MRI image has abnormality.
 - **Dataset:** [LGG Segmentation Dataset](https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation)
-- **Version:** v1.0.0
 - **Task:** Image Classification
 - **License:** Apache 2.0

             name: Accuracy
 ---
+# Brain MRI Classification - FLAIR Abnormality Classification v1.2.0
 This repository hosts the trained model for **FLAIR Abnormality Classification** in Brain MRI scans. The model is a CNN-based architecture designed to classify Brain MRI images as normal or abnormal (FLAIR abnormality).
 - **Architecture:** A CNN model that classifies whether a given Brain MRI image has abnormality.
 - **Dataset:** [LGG Segmentation Dataset](https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation)
+- **Version:** v1.2.0
 - **Task:** Image Classification
 - **License:** Apache 2.0