GitHub - Jinal4502/Integrated-Classification-and-Segmentation-Model-for-Chest-X-ray-Examination: Developed a combined classification (ConvNext) and segmentation (UperNet with Swin Backbone) model for analyzing chest X-rays, validated on the ChestXDet dataset with 0.42 IoU and 0.81 AUC score.

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Developed a combined classification (ConvNext) and segmentation (UperNet with Swin Backbone) model for analyzing chest X-rays, validated on the ChestXDet dataset with 0.42 IoU and 0.81 AUC score.

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Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
classification		classification
combined_model		combined_model
miscellaneous		miscellaneous
segmentation		segmentation

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Developed a combined classification (ConvNext) and segmentation (UperNet with Swin Backbone) model for analyzing chest X-rays, validated on the ChestXDet dataset with 0.42 IoU and 0.81 AUC score.