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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 581–590 of 640 papers

TitleStatusHype
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
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