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 581–590 of 640 papers

TitleStatusHype
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network—0
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
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
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
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
Show:102550
← PrevPage 59 of 64Next →

No leaderboard results yet.