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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 511–520 of 640 papers

TitleStatusHype
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation—0
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets—0
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation—0
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks—0
GradMask: Reduce Overfitting by Regularizing Saliency—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—0
Improved Inference via Deep Input Transfer—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
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