SOTAVerified

Skin Lesion Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 154 papers

TitleStatusHype
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features—0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation—0
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
Generating Highly Realistic Images of Skin Lesions with GANs—0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—0
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
Improved Inference via Deep Input Transfer—0
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
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network—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
Skin lesion segmentation and classification using deep learning and handcrafted features—0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.