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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 101–125 of 640 papers

TitleStatusHype
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing ModalitiesCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion SegmentationCode1
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion SegmentationCode1
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
Rotation-Equivariant Deep Learning for Diffusion MRICode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
Shifting More Attention to Breast Lesion Segmentation in Ultrasound VideosCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
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