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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 391–400 of 640 papers

TitleStatusHype
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features—0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification—0
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning—0
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images—0
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
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