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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 301–310 of 640 papers

TitleStatusHype
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection—0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—0
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks—0
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results—0
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
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