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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 126–150 of 640 papers

TitleStatusHype
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment—0
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Synthetic Data for Robust Stroke SegmentationCode1
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI—0
A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos—0
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation—0
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation—0
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7TCode1
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
Slicer Networks—0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
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