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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 451–475 of 640 papers

TitleStatusHype
Breast lesion segmentation in ultrasound images with limited annotated data—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Class Balanced PixelNet for Neurological Image Segmentation—0
Clinical Inspired MRI Lesion Segmentation—0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues—0
COVID-view: Diagnosis of COVID-19 using Chest CT—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
Cross-Domain Federated Learning in Medical Imaging—0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
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