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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 321–330 of 640 papers

TitleStatusHype
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationCode0
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical CuesCode0
Spatially Covariant Lesion Segmentation—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis—0
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?—0
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