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Skin Lesion Segmentation

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Showing 76–100 of 154 papers

TitleStatusHype
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network—0
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge—0
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition—0
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion—0
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units—0
LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network—0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
Patch Network for medical image Segmentation—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Saliency-based segmentation of dermoscopic images using color information—0
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
Semi-supervised few-shot learning for medical image segmentation—0
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model—0
Skin cancer reorganization and classification with deep neural network—0
A survey, review, and future trends of skin lesion segmentation and classification—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
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