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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 331–340 of 640 papers

TitleStatusHype
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net—0
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation—0
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation—0
Toward Generalizable Multiple Sclerosis Lesion Segmentation Models—0
Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans—0
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion—0
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation—0
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network—0
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM—0
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