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Skin Lesion Segmentation

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Showing 76–100 of 154 papers

TitleStatusHype
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
A Lightweight U-Net Model for Accurate Skin Lesion Segmentation—0
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
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
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