| 关键词 | 期刊/会议 | 中科院分区 | 年份 | 题目 | 相关词 |
| superpix, MR | IEEE Access | 2区，计算机科学 | 2020 | Automated Brain Tumor Segmentation Based on Multi-Planar Superpixel Level Features Extracted From 3D MR Images | 脑部肿瘤，分割，3D |
| | Medical Biol. Eng. Comput. | 3区，计算机：跨学科应用 | 2020 | Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans | 前列腺，基于超像素的CNN，活动轮廓模型，3D |
| | Comput. Biol. Medicine | 3区，计算机：跨学科应用 | 2020 | Ischemic stroke segmentation in multi-sequence MRI by symmetry determined superpixel based hierarchical clustering | 缺血性脑卒中，分割，分层聚类 |
| | ICOST 2020 | | 2020 | Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans | 脑胼胝体，分割，无监督 |
| | IWSSIP 2020 | | 2020 | Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas | 前列腺，分割，概率图谱 |
| | IWSSIP 2020 | | 2020 | Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels | 前列腺，分割，残差CNN |
| | ICAIT 2019 | | 2019 | Brain Tumor Segmentation from MRI Using Pre-segmentation Based on Superpixels and Fully Convolutional Neural Network | 脑部肿瘤，分割，FCN |
| | EMBC 2018 | | 2018 | Symmetry determined superpixels for efficient lesion segmentation of ischemic stroke from MRI | 缺血性脑卒中病灶，分割，对称性 |
| | Int. J. Comput. Assist. Radiol. Surg | 3区，工程：生物医学 | 2017 | Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI | 脑部肿瘤，检测，超随机树 |
| | BrainLes@MICCAI 2017 | | 2017 | Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction | 肿瘤，分割，随机森林 |
| superpixel, Medical | ACM TIST | 4区，计算机：人工智能 | 2020 | Superpixel Region Merging Based on Deep Network for Medical Image Segmentation | 医学图像分割，深度网络，超像素区域合并 |
| | ECCV | | 2020 | Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation | 医学图像分割，自监督，无标注 |
| | MICCAI | | 2020 | Superpixel-Guided Label Softening for Medical Image Segmentation | 医学图像分割，超像素引导，标签软化 |
| | BMC Medical Imaging | 4区，核医学 | 2019 | Automatic glioma segmentation based on adaptive superpixel | 脑肿瘤，分割，自适应超像素 |
| | Medical Imaging: Computer-Aided Diagnosis 2019 | | 2019 | Longitudinal matching of in vivo adaptive optics images of fluorescent cells in the human eye using stochastically consistent superpixels | 人眼荧光细胞光学图像，随机一致的超像素，纵向匹配 |
| | Comput. Medical Imaging Graph | 3区，工程技术 | 2018 | Hybrid method combining superpixel, random walk and active contour model for fast and accurate liver segmentation | 肝脏分割，随机游走，活动轮廓，超像素 |
| | Medical Biol. Eng. Comput | 3区，计算机：跨学科应用 | 2018 | Vessel segmentation and catheter detection in X-ray angiograms using superpixels | X-ray造影，血管，导尿管 |
| | Medical Image Analysis | 2区，计算机：人工智能；1区，跨学科应用 | 2018 | Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images | X-ray图像，超像素和多图谱的融合熵模型 |
| | Multidimens. Syst. Signal Process | 3区，计算机：理论方法 | 2018 | Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease | 青光眼，半监督超像素分类 |
| | Comput. Medical Imaging Graph | 3区，工程技术 | 2017 | Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach | 黄斑OCT图像，自动分层分割， |
| | Medical Imaging: Computer-Aided Diagnosis 2017 | | 2017 | Superpixel-based classification of gastric chromoendoscopy images | 胃镜图像，分类 |
| | Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017 | | 2017 | Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling | 胰腺，自动分割，由粗到细的超像素标签 |
| superpixel, cell | Intelligent Computing Paradigm 2020 | | 2020 | Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks | 恶性肿瘤，细胞学图像，CNN |
| | ICIAR 2018 | | 2018 | Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels | 角膜内皮细胞分割 |
| | VISIGRAPP 2018 | | 2018 | SPICE: Superpixel Classification for Cell Detection and Counting | 细胞检测和计数 |
| superpixel, ultrasound | Medical Image Analysis | 2区，计算机：人工智能；1区，跨学科应用 | 2020 | Segmentation of breast ultrasound image with semantic classification of superpixels | 胸部超声，分割，语义分类 |
| | Expert Syst. Appl | 2区，计算机：人工智能 | 2019 | Automatic superpixel-based segmentation method for breast ultrasound images | 胸部超声，自动分割 |
| | ICSAI 2018 | | 2018 | A Superpixel-Classification-Based Method for Breast Ultrasound Images | 胸部超声，分类 |
| superpixel, histopatholog | Medical Biol. Eng. Comput. | 3区，计算机：跨学科应用 | 2019 | Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms | 组织病理学图像，自动细胞分割 |
| | INISTA 2018 | | 2018 | A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation | 超像素分割方法与深度学习方法混合 |
| | J. Imaging | | 2017 | Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation | 上皮和基质识别，无监督和半监督超像素分割 |
| | MIUA 2017 | | 2017 | Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering | 一致性聚类，无监督分割 |
| | SIU 2017 | | 2017 | Superpixel approach in high resolution histopathological image segmentation | 高分辨率 |
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| | TIP | | 2017 | A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling | 胰腺分割，级联超像素，图像分块标记，自下而上的方法 |
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