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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 431–440 of 640 papers

TitleStatusHype
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks—0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
AutoPET III Challenge: PET/CT Semantic Segmentation—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoPETIII: The Tracer Frontier. What Frontier?—0
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