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 591–600 of 640 papers

TitleStatusHype
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST—0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Detection-aided liver lesion segmentation using deep learningCode0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Show:102550
← PrevPage 60 of 64Next →

No leaderboard results yet.