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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 401–450 of 640 papers

TitleStatusHype
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network—0
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols—0
A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos—0
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI—0
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19—0
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT—0
Automated external cervical resorption segmentation in cone-beam CT using local texture features—0
Automated ischemic stroke lesion segmentation from 3D MRI—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis—0
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets—0
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—0
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
Automatic lesion segmentation and Pathological Myopia classification in fundus images—0
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method—0
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks—0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
AutoPET III Challenge: PET/CT Semantic Segmentation—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoPETIII: The Tracer Frontier. What Frontier?—0
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation—0
Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting—0
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification—0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
Mask Mining for Improved Liver Lesion Segmentation—0
Boundary-rendering network for breast lesion segmentation in ultrasound images—0
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation—0
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network—0
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