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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 161–170 of 640 papers

TitleStatusHype
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation—0
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain ImagesCode1
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion SegmentationCode1
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analysesCode1
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
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