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fundus-lesions-segmentation-unet_seresnext50_32x4d

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  ---
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- tags:
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- - pytorch_model_hub_mixin
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- - model_hub_mixin
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This model has been pushed to the Hub using ****:
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- - Repo: [More Information Needed]
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- - Docs: [More Information Needed]
 
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  ---
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+ language: en
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+ license: mit
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+ datasets:
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+ - DDR
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+ - FGADR
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+ - IDRID
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+ - MESSIDOR
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+ - RETLES
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+ library: torchSeg
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+ model-index:
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+ - name: unet_seresnext50_32x4d
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+ results:
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+ - task:
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+ type: image-segmentation
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+ dataset:
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+ name: IDRID
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+ type: IDRID
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+ metrics:
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+ - type: roc_auc
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+ value: 0.6701094508171082
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+ name: AUC Precision Recall - IDRID COTTON_WOOL_SPOT - COTTON_WOOL_SPOT
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+ - type: roc_auc
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+ value: 0.7860875129699707
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+ name: AUC Precision Recall - IDRID EXUDATES - EXUDATES
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+ - type: roc_auc
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+ value: 0.6743975877761841
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+ name: AUC Precision Recall - IDRID HEMORRHAGES - HEMORRHAGES
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+ - type: roc_auc
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+ value: 0.39846163988113403
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+ name: AUC Precision Recall - IDRID MICROANEURYSMS - MICROANEURYSMS
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+ - task:
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+ type: image-segmentation
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+ dataset:
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+ name: FGADR
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+ type: FGADR
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+ metrics:
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+ - type: roc_auc
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+ value: 0.4449217915534973
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+ name: AUC Precision Recall - FGADR COTTON_WOOL_SPOT - COTTON_WOOL_SPOT
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+ - type: roc_auc
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+ value: 0.6951484084129333
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+ name: AUC Precision Recall - FGADR EXUDATES - EXUDATES
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+ - type: roc_auc
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+ value: 0.6508341431617737
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+ name: AUC Precision Recall - FGADR HEMORRHAGES - HEMORRHAGES
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+ - type: roc_auc
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+ value: 0.2895563244819641
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+ name: AUC Precision Recall - FGADR MICROANEURYSMS - MICROANEURYSMS
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+ - task:
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+ type: image-segmentation
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+ dataset:
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+ name: MESSIDOR
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+ type: MESSIDOR
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+ metrics:
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+ - type: roc_auc
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+ value: 0.3307325839996338
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+ name: AUC Precision Recall - MESSIDOR COTTON_WOOL_SPOT - COTTON_WOOL_SPOT
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+ - type: roc_auc
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+ value: 0.7123324871063232
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+ name: AUC Precision Recall - MESSIDOR EXUDATES - EXUDATES
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+ - type: roc_auc
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+ value: 0.3926454186439514
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+ name: AUC Precision Recall - MESSIDOR HEMORRHAGES - HEMORRHAGES
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+ - type: roc_auc
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+ value: 0.4098129868507385
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+ name: AUC Precision Recall - MESSIDOR MICROANEURYSMS - MICROANEURYSMS
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+ - task:
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+ type: image-segmentation
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+ dataset:
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+ name: DDR
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+ type: DDR
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+ metrics:
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+ - type: roc_auc
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+ value: 0.5084977746009827
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+ name: AUC Precision Recall - DDR COTTON_WOOL_SPOT - COTTON_WOOL_SPOT
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+ - type: roc_auc
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+ value: 0.6117375493049622
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+ name: AUC Precision Recall - DDR EXUDATES - EXUDATES
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+ - type: roc_auc
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+ value: 0.5447860956192017
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+ name: AUC Precision Recall - DDR HEMORRHAGES - HEMORRHAGES
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+ - type: roc_auc
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+ value: 0.23405438661575317
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+ name: AUC Precision Recall - DDR MICROANEURYSMS - MICROANEURYSMS
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+ - task:
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+ type: image-segmentation
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+ dataset:
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+ name: RETLES
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+ type: RETLES
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+ metrics:
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+ - type: roc_auc
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+ value: 0.5254419445991516
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+ name: AUC Precision Recall - RETLES COTTON_WOOL_SPOT - COTTON_WOOL_SPOT
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+ - type: roc_auc
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+ value: 0.7039055824279785
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+ name: AUC Precision Recall - RETLES EXUDATES - EXUDATES
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+ - type: roc_auc
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+ value: 0.5196094512939453
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+ name: AUC Precision Recall - RETLES HEMORRHAGES - HEMORRHAGES
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+ - type: roc_auc
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+ value: 0.4127877354621887
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+ name: AUC Precision Recall - RETLES MICROANEURYSMS - MICROANEURYSMS
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  ---
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+ # Lesions Segmentation in Fundus
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+
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+ ## Introduction
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+ We focus on the semantic segmentations of:
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+
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+ 1. Cotton Wool Spot
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+ 2. Exudates
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+ 3. Hemmorrhages
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+ 4. Microaneurysms
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+
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+ For an easier use of the models, we refer to cleaned-up version of the code provided in the [fundus lesions toolkit](https://github.com/ClementPla/fundus-lesions-toolkit/tree/main/).
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+
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+ ## Architecture
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+
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+ The model uses unet_seresnext50_32x4d as architecture. The implementation is taken from [torchSeg](https://github.com/isaaccorley/torchseg)
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+
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+ ## Training datasets
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+
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+ The model was trained on the following datasets:
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+ DDR, FGADR, IDRID, MESSIDOR, RETLES
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