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Skin Lesion Segmentation

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Showing 101–150 of 154 papers

TitleStatusHype
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
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Semi-supervised few-shot learning for medical image segmentation—0
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
Skin Lesion Segmentation using SegNet with Binary Cross-EntropyCode0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
DSNet: Automatic Dermoscopic Skin Lesion SegmentationCode0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial networkCode0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Improved Inference via Deep Input Transfer—0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Skin lesion segmentation using U-Net and good training strategies—0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—0
Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour SpaceCode0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
Generating Highly Realistic Images of Skin Lesions with GANs—0
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy ImagesCode0
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks—0
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation—0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Skin lesion segmentation based on preprocessing, thresholding and neural networks—0
Automatic skin lesion segmentation with fully convolutional-deconvolutional networksCode0
RECOD Titans at ISIC Challenge 2017Code0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
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