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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 441–450 of 640 papers

TitleStatusHype
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
Saliency-based segmentation of dermoscopic images using color information—0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
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