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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 371–380 of 640 papers

TitleStatusHype
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST—0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse Model—0
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