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Skin Lesion Segmentation

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Showing 51–100 of 154 papers

TitleStatusHype
A hybrid approach for improving U-Net variants in medical image segmentation—0
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
DAGrid: Directed Accumulator GridCode1
Generative Adversarial Networks based Skin Lesion SegmentationCode0
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Patch Network for medical image Segmentation—0
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
U-Net-based Models for Skin Lesion Segmentation: More Attention and AugmentationCode1
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
A survey, review, and future trends of skin lesion segmentation and classification—0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-imagesCode0
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Skin lesion segmentation and classification using deep learning and handcrafted features—0
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
Boundary-aware Transformers for Skin Lesion SegmentationCode1
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition—0
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—0
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features—0
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Saliency-based segmentation of dermoscopic images using color information—0
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
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