description: 整理自己看过和待看的一些主要关于图像分割包括其他领域的论文,不定时更新…
综述篇
- Deep learning for cardiac image segmentation: A review [2019]
- Deep Semantic Segmentation of Natural and Medical Images: A Review [2019]
- Understanding Deep Learning Techniques for Image Segmentation [2019]
- Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications [2019]
- Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation [2019]
- Deep Learning for Image Super-resolution: A Survey [2019] [超分辨率]
开篇之作
- Fully convolutional networks for semantic segmentation [2015] [CVPR] [FCN] [全卷积]
编码-解码结构
- Learning Deconvolution Network for Semantic Segmentation
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- U-Net: Convolutional Networks for Biomedical Image Segmentation [2015] [MICCAI] [UNet]
- UNet++: A Nested U-Net Architecture for Medical Image Segmentation [2018] [DLMIA]
- UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation [2019] [IEEE TMI]
- V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation [2016] [3DV]
- The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
- Stacked Deconvolutional Network for Semantic Segmentation
- RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
- Large Kernel Matters – Improve Semantic Segmentation by Global Convolutional Network
- Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
- 3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
- Rethinking Atrous Convolution for Semantic Image Segmentation [2017] [DeepLabV3]
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation [2018] [ECCV] [DeepLabV3+]
- Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
- CE-Net: Context Encoder Network for 2D Medical Image Segmentation [2019] [TMI]
- Towards semi-supervised segmentation via image-to-image translation [ 2019]
- Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods [2019]
- Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation [2019] [CVPR] [DUpsample]
- ExFuse: Enhancing Feature Fusion for Semantic Segmentation [2018] [ECCV] [ExFuse] [增强特征融合]
- Gated-SCNN: Gated Shape CNNs for Semantic Segmentation [2019] [ICCV] [two stream] [边缘提取]
多尺度上下文融合
- Pyramid Scene Parsing Network [2017] [CVPR] [PSPNet]
- (DeepLab V3) Rethinking Atrous Convolution for Semantic Image Segmentation
- (DeepLab V3+) Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- (GCN) Large Kernel Matters – Improve Semantic Segmentation by Global Convolutional Network [2017] [CVPR] [大内核]
- Context Encoding for Semantic Segmentation
- (EncNet) Context contrasted feature and gated multiscale aggregation for scene segmentation [2018] [CVPR] [注意力机制]
- RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation [2017] [CVPR]
注意力机制
- Squeeze-and-Excitation Networks [2018] [CVPR] [SENet]
- Pyramid Feature Attention Network for Saliency detection [2019] [CVPR] [双重注意力] [边缘保护损失] [显著性检测]
- Residual Attention Network for Image Classification
- Dual Attention Network for Scene Segmentation [ 2019] [CVPR] [DANet] [场景分割] [双重注意力]
- CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation [2019] [MICCAI] [视网膜] [双重注意力]
- Pyramid Attention Network for Semantic Segmentation [2018][PAN]
- Attention to Scale: Scale-aware Semantic Image Segmentation
- ASDNet: Attention based semi-supervised deep networks for medical image segmentation
- Multi-scale self-guided attention for medical image segmentation [ 2019 ]
- Autofocus Layer for Semantic Segmentation
- Attention guided U-Net for accurate iris segmentation
- nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
- Attention dense-U-Net for automatic breast mass segmentation in digital mammogram
- RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network [ 2019 ]
- Attention U-Net: Learning Where to Look for the Pancreas
- Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
对抗网络
- Generative Adversarial Networks
- Generative Adversarial Network in Medical Imaging: A Review
- Semantic Segmentation using Adversarial Networks
- Synthesizing Filamentary Structured Images with GANs
- Towards Adversarial Retinal Image Synthesis
- Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
- PAN: Projective Adversarial Network for Medical Image Segmentation [2019]
- SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
- SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
- Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
- Adversarial training and dilated convolutions for brain MRI segmentation
- Generative adversarial network based synthesis for supervised medical image segmentation
- A conditional adversarial network for semantic segmentation of brain tumor
- Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
- Deep adversarial networks for biomedical image segmentation utilizing unannotated images
- A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation
模型压缩
- NAS-Unet: Neural architecture search for medical image segmentation
- A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation [2019]
- Efficient segmentation of medical images using dilated residual networks
- Spinal cord gray matter segmentation using deep dilated convolutions
- Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks [2019]
- Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
降低计算复杂度
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
- Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications (tensor factoriaztion 张量分解)
- V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation (pruning 剪枝)
- EIE: Efficient Inference Engine on Compressed Deep Neural Network (稀疏连接)
- Convolutional Neural Fabrics (神经结构搜索)
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation [2019]
- Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
递归神经网络 RNN
- Recurrent neural networks for aortic image sequence segmentation with sparse annotations
- Fully convolutional structured LSTM networks for joint 4D medical image segmentation
- MDS-Net: A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation [2019]
- Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
- Race-net: a recurrent neural network for biomedical image segmentation
- Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
- Retinal image classification via vasculature-guided sequential attention
- Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images
基于图像合成 Image Synthesis 数据增强
- Adversarial image synthesis for unpaired multi-modal cardiac data
- Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
- Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
- Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
- Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
- Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
- MRI Cross-Modality NeuroImage-to-NeuroImage Translation
- 3D cGAN based cross-modality MR image synthesis for brain tumor segmentation
- Learning More with Less: GAN-based Medical Image Augmentation [2019]
弱监督 Weakly Supervised
- Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation
- FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference [2019]
- Constrained-CNN losses for weakly supervised segmentation
- Weakly supervised fully convolutional network for PET lesion segmentation
- Learning to Segment Skin Lesions from Noisy Annotations [2019]
- InfoMask: Masked Variational Latent Representation to Localize Chest Disease [2019]
- Discretely-constrained deep network for weakly supervised segmentation [2019]
- Deep semi-supervised segmentation with weight-averaged consistency targets
- Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
多任务 Multitask
- Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
- Multitask convolutional neural network for patient detection and skin segmentation in continuous non
- Multi-task learning for the segmentation of thoracic organs at risk in CT images
- A multi-task U-net for segmentation with lazy labels [2019]
- Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos [ 2019 ]
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
- Multitask Classification and Segmentation for Cancer Diagnosis in Mammography [2019]
- Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning
- Adapting Mask-RCNN for Automatic Nucleus Segmentation
- Mask-RCNN and U-net Ensembled for Nuclei Segmentation [2019]
- Multi-path dilated residual network for nuclei segmentation and detection
- Computational staining of pathology images to study tumor microenvironment in lung cancer
- Utilizing Mask R-CNN for detection and segmentation of oral diseases
- Instance-based segmentation for boundary detection of neuropathic ulcers through Mask-RCNN
- Sequential Rib Labeling and Segmentation in Chest X-Ray using Mask R-CNN [2019]
- Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
- Lung Nodules Detection and Segmentation Using 3D Mask-RCNN [2019]
轻量级神经网络
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications [2017] [CVPR] [MobileNet]
- ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices [2018] [CVPR] [ShuffleNet]
- MobileNetV2: Inverted Residuals and Linear Bottlenecks [2018] [CVPR] [MobileNetV2]
- ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design [2018] [ECCV] [ShuffleNetV2]
- Searching for MobileNetV3 [2019] [ICCV] [NAS]
- MnasNet: Platform-Aware Neural Architecture Search for Mobile [2019] [CVPR] [NAS]
- GhostNet: More Features from Cheap Operations [2020] [CVPR]
超分辨率
- Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network [2016] [CVPR] [PixelShuffle]
前列腺分割 Prostate Segmentation
- Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation [2019] [TMI] [迁移学习] [领域自适应] [边界损失]
- MS-Net:Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data [2020] [TMI] [知识迁移] [多站点学习]
显著性检测
- Pyramid Feature Attention Network for Saliency detection [2019] [CVPR] [双重注意力] [边缘保护损失] [显著性检测]