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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 291–300 of 640 papers

TitleStatusHype
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic videoCode0
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-imagesCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
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