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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 151–175 of 640 papers

TitleStatusHype
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI—0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise HardnessCode1
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation DatasetCode1
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net—0
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion—0
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation—0
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain ImagesCode1
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion SegmentationCode1
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analysesCode1
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy—0
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks—0
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
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