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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 161–170 of 640 papers

TitleStatusHype
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural NetworksCode0
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random FieldsCode0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Image Segmentation: Inducing graph-based learningCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
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