近年来关于2D与3D医学影像分割的论文

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2D Medical Segmentation

2019

• MICCAI 2019
  • Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
  • Attention Guided Network for Retinal Image SegmentationPytorch
  • Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation[Code]
  • Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
  • NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
  • ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image SegmentationCode
  • Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery
  • Mixed-Supervised Dual-Network for Medical Image Segmentation
  • Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation[Code]
  • INN: Inflated Neural Networks for IPMN Diagnosis(30 Jun)[Code]
  • Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
  • Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation[Pytorch][Dataset]
  • Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
  • Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation(5 Jul)
  • FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images
• CVPR 2019
  • Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology(Apr 2019)
  • Exploiting Computation Power of Blockchain for Biomedical Image Segmentation(Apr 2019)
• AAAI 2019
  • Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks(Apr 2019)
• ISBI2019
  • A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation(Oct 2018)[Keras]
  • Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks(Apr 2019)
  • Automatic Pulmonary Lobe Segmentation Using Deep Learning(Mar 2019)
  • Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI(March 2019)
  • US-net for robust and efficient nuclei instance segmentation(Jan 2019)
  • Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation
  • Mask-RCNN and U-net Ensembled for Nuclei Segmentation(Jan 2019)
  • Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
  • U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans
  • SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes
  • Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
  • Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
  • Residual Pyramid FCN for Robust Follicle Segmentation
  • Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural(Net Apr 2019)[oral]
• EMBC 2019
  • Ultrasound segmentation using U-Net: learning from simulated data and testing on real data[]
  • RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network(May 2019)
• MIDL 2019
  • XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation(Apr 2019))[Pytorch]

• Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

• SCI
  • CA-RefineNet:A Dual Input WSI Image Segmentation Algorithm Based on Attention
  • Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net(Apr 2019))[IEEE Transactions on Medical Imaging,TMI]
  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation(Mar 2019)[Pytorch][Pytorch2][IEEE Transactions on Medical Imaging,TMI]
  • The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning[IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE]
  • Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation[IEEE Transactions on Medical Imaging,TMI]
  • Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation(May 2019)[IEEE Transactions on Medical Imaging,TMI]
  • NAS-Unet: Neural Architecture Search for Medical Image Segmentation(Apr 2019)[IEEE Access]
  • 3-D Surface Segmentation Meets Conditional Random Fields
• other
  • Automatic segmentation of kidney and liver tumors in CT images
  • Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network
  • Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
  • Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation
  • A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation
  • Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation
  • Lung image segmentation by generative adversarial networks
  • Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
  • Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
  • Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
  • Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model
  • ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
  • DSNet: Automatic Dermoscopic Skin Lesion Segmentation[Code]
  • A multi-task U-net for segmentation with lazy labels(20 Jun)
  • An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial LearningJul 2019)
  • CaDSS: Cataract Dataset for Semantic Segmentation
  • Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
  • Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
  • Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network
  • V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
  • Multi-scale guided attention for medical image segmentation[Pytorch]
  • Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images
  • A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
  • Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels
  • Segmentation of blood vessels in retinal fundus images
  • A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images(May 2019)
  • A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT(May 2019)
  • Dual-branch residual network for lung nodule segmentation(May 2019)
  • A novel algorithm for segmentation of leukocytes in peripheral blood(May 2019)
  • Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset(May 2019)
  • iRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading(May 2019)
  • Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function(May 2019)
  • T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
  • Breast Tumor Classification and Segmentation using Convolutional Neural Networks(May 2019)
  • nnU-Net: Breaking the Spell on Successful Medical Image Segmentation(Apr 2019)[Code]
  • Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation(Mar 2019)
  • MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation(Dec 2018)
  • Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN(Apr 2019)
  • FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI( Apr 2019)
  • FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation(https://arxiv.org/abs/1902.03091)
  • Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks

2018

• IPMI 2018
  • CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation
• other
  • Attention U-Net: Learning Where to Look for the Pancreas(Apr 2018)[Pytorch]
  • Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images(Aug 2018)[Pytorch]
  • UNet++: A Nested U-Net Architecture for Medical Image Segmentation(Jul 2018)

Before 2018

• MICCAI 2015
  • U-Net: Convolutional Networks for Biomedical Image Segmentation(May 2015)

3D Medical Segmentation

2019

• MICCAI 2019
  • X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies[Keras]
  • Project & Excite Modules for Segmentation of Volumetric Medical Scans[Pytorch]
  • A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation[Pytorch][Pytorch2]
  • Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
  • Permutohedral Attention Module for Efficient Non-Local Neural Networks(Jul 2019)[Pytorch][Dataset]
  • Generative adversarial network for segmentation of motion affected neonatal brain MRI
  • Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation[Code]
  • Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
  • Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images
  • PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
  • PHiSeg: Capturing Uncertainty in Medical Image Segmentation
  • Cardiac MRI Segmentation with Strong Anatomical Guarantees(5 Jul)
  • Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation(5 Jul)
• IPMI2019
  • Brain Tumor Segmentation on MRI with Missing Modalities(Apr 2019)
  • Accurate Nuclear Segmentation with \Center Vector Encoding
• ISBI2019
  • Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure
  • Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FCN
• SCI
  • 3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles(Mar 2019)[Pytorch][NeuroImage]
• arxiv
  • An attempt at beating the 3D U-Net
  • Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
  • A Unified Point-Based Framework for 3D Segmentation
  • 2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy
  • Convolutional neural network stacking for medical image segmentation in CT scans
  • CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeKeras
  • Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders
  • FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic Segmentation of Brain Anatomy
  • AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
  • CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
  • A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images
  • Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels
  • Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior(29 Jun )
  • Improving the generalizability of convolutional neural network-based segmentation on CMR images
  • CSSegNet: Fine-Grained Cardiac Structures Segmentation Using Dilated Pyramid Pooling in U-net
  • Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks
  • https://arxiv.org/ftp/arxiv/papers/1906/1906.10486.pdf
  • Scalable Neural Architecture Search for 3D Medical Image Segmentation
  • Enforcing temporal consistency in Deep Learning segmentation of brain MR images
  • 4D CNN for semantic segmentation of cardiac volumetric sequences
  • Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
  • A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation
  • OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
  • AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
  • Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks(Jun 2019)[ cross-validation]
  • Generative Model-Based Ischemic Stroke Lesion Segmentation(Jun 2019)
  • Automated Segmentation for Hyperdense Middle Cerebral Artery Sign of Acute Ischemic Stroke on Non-Contrast CT Images(May 2019)
  • 3D Dense Separated Convolution Module for Volumetric Image Analysis(May 2019)[[cross validation]]
  • RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud（May 2019)
  • Thickened 2D Networks for 3D Medical Image Segmentation(Apr 2019)
  • Spherical U-Net on Cortical Surfaces: Methods and Applications(Apr 2019)[cross-validation]
  • 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI(Apr 2019)[Pytorch][online-evaluation]
  • Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations(Apr 2019)[cross-validation]

2018

• MICCAI 2018
  • Multi-Task Learning for Left Atrial Segmentation on GE-MRI(Oct 2018)[Pytorch]

Before 2018

• MICCAI
  • 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation(Jun 2016)

Brain Tissue Segmentation

• Paper
  • DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
  • Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
  • 3D Patchwise U-Net with Transition Layers for MR Brain Segmentation(Rank 1)[TensorFlow]
  • MixNet: Multi-modality Mix Network for Brain Segmentation(Rank3)[tensorflow]
  • Robust 3D Convolutional Neural Network with Boundary Correction for Accurate Brain Tissue Segmentation(Rank3)[Keras]
  • Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net(Rank9)
  • On direct distribution matching for adapting segmentation networks(Apr 2019)[Code]

MS lesion segmentation

• Paper
  • Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation(Jan 2019)[ISBI2019]
  • Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET(Jan 2019)
  • Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions(Dec 2018)
  • A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols(Nov 2018)
  • Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation(Nov 2018)[NeuroImage]
  • Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation((Aug 2018)[MICCAI 2018]

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