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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 276–300 of 640 papers

TitleStatusHype
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
Clinical Inspired MRI Lesion Segmentation—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
Class Balanced PixelNet for Neurological Image Segmentation—0
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation—0
HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation—0
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