Cargando…

Automatic glioma segmentation based on adaptive superpixel

BACKGROUND: The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging. METHODS: The proposed method mainly includes three steps. First, w...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Yaping, Zhao, Zhe, Wu, Weiguo, Lin, Yusong, Wang, Meiyun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708204/ https://www.ncbi.nlm.nih.gov/pubmed/31443642 http://dx.doi.org/10.1186/s12880-019-0369-6

Ejemplares similares

Automatic Histogram Specification for Glioma Grading Using Multicenter Data
por: Chen, Xi, et al.
Publicado: (2019)

Automated glioma detection and segmentation using graphical models
por: Zhao, Zhe, et al.
Publicado: (2018)

Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels
por: Ye, Xujiong, et al.
Publicado: (2010)

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis
por: Chang, Che Wei, et al.
Publicado: (2022)

Foreground Detection Based on Superpixel and Semantic Segmentation
por: Feng, Junying, et al.
Publicado: (2022)

Superpixel Segmentation Based on Anisotropic Edge Strength
por: Wang, Gang, et al.
Publicado: (2019)

Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing
por: Liu, Jiayin, et al.
Publicado: (2017)

Superpixel Segmentation Based on Grid Point Density Peak Clustering
por: Chen, Xianyi, et al.
Publicado: (2021)

Superpixel-based segmentation of muscle fibers in multi-channel microscopy
por: Nguyen, Binh P., et al.
Publicado: (2016)

Robust Superpixel Segmentation for Hyperspectral-Image Restoration
por: Fan, Ya-Ru
Publicado: (2023)

Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification
por: Carlier, Alexis, et al.
Publicado: (2022)

Electrochemical Intelligent Recognition of Mineral Materials Based on Superpixel Image Segmentation
por: Liu, Weiping, et al.
Publicado: (2022)

An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System
por: Zhu, Hong-Min, et al.
Publicado: (2014)

Color disease leaf image segmentation using NAMS superpixel algorithm
por: Li, Hua, et al.
Publicado: (2018)

A survey on the utilization of Superpixel image for clustering based image segmentation
por: Sasmal, Buddhadev, et al.
Publicado: (2023)

A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering
por: Ji, Shiyong, et al.
Publicado: (2014)

Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC
por: Wang, Yu, et al.
Publicado: (2020)

Optimized method for segmentation of ancient mural images based on superpixel algorithm
por: Liang, Jinxing, et al.
Publicado: (2022)

Superpixel-Oriented Label Distribution Learning for Skin Lesion Segmentation
por: Zhou, Qiaoer, et al.
Publicado: (2022)

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans
por: Jlassi, Amal, et al.
Publicado: (2020)

Entropy Rate Superpixel Classification for Automatic Red Lesion Detection in Fundus Images
por: Romero-Oraá, Roberto, et al.
Publicado: (2019)

Superpixel image segmentation of VISTA expression in colorectal cancer and its relationship to the tumoral microenvironment
por: Wu, Dongling, et al.
Publicado: (2021)

Retracted: Electrochemical Intelligent Recognition of Mineral Materials Based on Superpixel Image Segmentation
por: Chemistry, International Journal of Analytical
Publicado: (2023)

Study on TCM Tongue Image Segmentation Model Based on Convolutional Neural Network Fused with Superpixel
por: Zhang, Han, et al.
Publicado: (2022)

Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels
por: Liu, Caixia, et al.
Publicado: (2020)

Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot
por: Zhu, Yaguang, et al.
Publicado: (2018)

Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation
por: Prakash, N.B., et al.
Publicado: (2021)

Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation
por: Ge, Ting, et al.
Publicado: (2022)

Superpixel-Based Optic Nerve Head Segmentation Method of Fundus Images for Glaucoma Assessment
por: Ávila, Francisco J., et al.
Publicado: (2022)

A Segmentation Method for Lung Parenchyma Image Sequences Based on Superpixels and a Self-Generating Neural Forest
por: Liao, Xiaolei, et al.
Publicado: (2016)

A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise
por: Zhang, Wei, et al.
Publicado: (2017)

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
por: Xiong, Xiong, et al.
Publicado: (2017)

RETRACTED ARTICLE: A new firefly algorithm-based superpixel clustering method for vehicle segmentation
por: Tiwari, Twinkle, et al.
Publicado: (2022)

Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks
por: Lee, Chien-Cheng, et al.
Publicado: (2022)

Superpixel-Based Feature for Aerial Image Scene Recognition
por: Li, Hongguang, et al.
Publicado: (2018)

Automated Detection of Red Lesions Using Superpixel Multichannel Multifeature
por: Zhou, Wei, et al.
Publicado: (2017)

An Efficient Hybrid Linear Clustering Superpixel Decomposition Framework for Traffic Scene Semantic Segmentation
por: Zhong, Dan, et al.
Publicado: (2023)

SUFEMO: A superpixel based fuzzy image segmentation method for COVID-19 radiological image elucidation
por: Chakraborty, Shouvik, et al.
Publicado: (2022)

Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI
por: Soltaninejad, Mohammadreza, et al.
Publicado: (2016)

Annotation-efficient deep learning for automatic medical image segmentation
por: Wang, Shanshan, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_ere47cplttsdjsr8k52n6dagcq