SOTAVerified

Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 231–240 of 640 papers

TitleStatusHype
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation—0
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets—0
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection—0
Show:102550
← PrevPage 24 of 64Next →

No leaderboard results yet.