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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 411–420 of 640 papers

TitleStatusHype
Saliency-based segmentation of dermoscopic images using color information—0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
DR-Unet104 for Multimodal MRI brain tumor segmentationCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
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