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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 576–600 of 640 papers

TitleStatusHype
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation—0
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy ImagesCode0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networksCode0
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks—0
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networksCode0
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation—0
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation—0
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means—0
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection—0
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network—0
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST—0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Detection-aided liver lesion segmentation using deep learningCode0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
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