Cargando…

Pathological Diagnosis of Adult Craniopharyngioma on MR Images: An Automated End-to-End Approach Based on Deep Neural Networks Requiring No Manual Segmentation

Purpose: The goal of this study was to develop end-to-end convolutional neural network (CNN) models that can noninvasively discriminate papillary craniopharyngioma (PCP) from adamantinomatous craniopharyngioma (ACP) on MR images requiring no manual segmentation. Materials and methods: A total of 97...

Descripción completa

Detalles Bibliográficos
Autores principales:	Teng, Yuen, Ran, Xiaoping, Chen, Boran, Chen, Chaoyue, Xu, Jianguo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782822/ https://www.ncbi.nlm.nih.gov/pubmed/36556097 http://dx.doi.org/10.3390/jcm11247481

Ejemplares similares

Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network
por: Chen, Chaoyue, et al.
Publicado: (2022)

Differentiation between Germinoma and Craniopharyngioma Using Radiomics-Based Machine Learning
por: Chen, Boran, et al.
Publicado: (2022)

Radiomic Analysis of Craniopharyngioma and Meningioma in the Sellar/Parasellar Area with MR Images Features and Texture Features: A Feasible Study
por: Tian, Zerong, et al.
Publicado: (2020)

MR‐linac daily semi‐automated end‐to‐end quality control verification
por: Malkov, Victor N., et al.
Publicado: (2023)

An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction
por: Oh, Changheun, et al.
Publicado: (2022)

Differentiation of Low-Grade Astrocytoma From Anaplastic Astrocytoma Using Radiomics-Based Machine Learning Techniques
por: Chen, Boran, et al.
Publicado: (2021)

A daily end‐to‐end quality assurance workflow for MR‐guided online adaptive radiation therapy on MR‐Linac
por: Chen, Xinfeng, et al.
Publicado: (2019)

Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion
por: Bhagwat, Nikhil, et al.
Publicado: (2016)

AM-UNet: automated mini 3D end-to-end U-net based network for brain claustrum segmentation
por: Albishri, Ahmed Awad, et al.
Publicado: (2022)

Demonstration of End-to-End Automation of DNA Data Storage
por: Takahashi, Christopher N., et al.
Publicado: (2019)

Recent advances in molecular pathology of craniopharyngioma
por: Larkin, Sarah, et al.
Publicado: (2017)

An end-to-end hybrid algorithm for automated medication discrepancy detection
por: Li, Qi, et al.
Publicado: (2015)

An end-to-end convolutional neural network for automated failure localisation and characterisation of 3D interconnects
por: Paulachan, Priya, et al.
Publicado: (2023)

Development and evaluation of a novel MR‐compatible pelvic end‐to‐end phantom
por: Cunningham, Justine M., et al.
Publicado: (2018)

Deep-learning-based automatic segmentation and classification for craniopharyngiomas
por: Yan, Xiaorong, et al.
Publicado: (2023)

Automated single-cell omics end-to-end framework with data-driven batch inference
por: Wang, Yuan, et al.
Publicado: (2023)

RC-Net: Regression Correction for End-To-End Chromosome Instance Segmentation
por: Liu, Hui, et al.
Publicado: (2022)

Automated and manual segmentation of the hippocampus in human infants
por: Fel, J.T., et al.
Publicado: (2023)

An end-to-end workflow for non-destructive 3D pathology
por: Bishop, Kevin W., et al.
Publicado: (2023)

The feasibility of MRI texture analysis in distinguishing glioblastoma, anaplastic astrocytoma and anaplastic oligodendroglioma
por: Teng, Yuen, et al.
Publicado: (2022)

End-to-End Automated Latent Fingerprint Identification With Improved DCNN-FFT Enhancement
por: Deshpande, Uttam U., et al.
Publicado: (2020)

An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
por: Amiri, S, et al.
Publicado: (2013)

An End-to-End Oil-Spill Monitoring Method for Multisensory Satellite Images Based on Deep Semantic Segmentation
por: Chen, Yantong, et al.
Publicado: (2020)

Efficient end-to-end learning for cell segmentation with machine generated weak annotations
por: Shrestha, Prem, et al.
Publicado: (2023)

Pathological and Topographical Classification of Craniopharyngiomas: A Literature Review
por: Lubuulwa, James, et al.
Publicado: (2016)

End-bridging is required for pol μ to efficiently promote repair of noncomplementary ends by nonhomologous end joining
por: Davis, Bryan J., et al.
Publicado: (2008)

Automatic Meningioma Segmentation and Grading Prediction: A Hybrid Deep-Learning Method
por: Chen, Chaoyue, et al.
Publicado: (2021)

Automated myocardium segmentation in late gadolinium enhanced MR images
por: Tao, Qian, et al.
Publicado: (2014)

Establishment of primary cultures of craniopharyngioma cells★
por: Liu, Hao, et al.
Publicado: (2012)

End-to-end automated microfluidic platform for synthetic biology: from design to functional analysis
por: Linshiz, Gregory, et al.
Publicado: (2016)

Craniopharyngioma
por: Garnett, Matthew R, et al.
Publicado: (2007)

Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity
por: Päeske, Laura, et al.
Publicado: (2018)

Recent incidence trend of elderly patients with glioblastoma in the United States, 2000–2017
por: Chen, Boran, et al.
Publicado: (2021)

Design and automation at the end of modernity: the teachings of the pandemic
por: Carpo, Mario
Publicado: (2022)

Comment: Flow-injection analysis—The end of the beginning? Segmented-flow analysis— The beginning of the end?
por: Riley, C., et al.
Publicado: (1983)

End‐to‐end deep learning classification of vocal pathology using stacked vowels
por: Liu, George S., et al.
Publicado: (2023)

A comparison of manual and automated neural architecture search for white matter tract segmentation
por: Tchetchenian, Ari, et al.
Publicado: (2023)

PlasmidMaker is a versatile, automated, and high throughput end-to-end platform for plasmid construction
por: Enghiad, Behnam, et al.
Publicado: (2022)

Deep learning-based end-to-end automated stenosis classification and localization on catheter coronary angiography
por: Cong, Chao, et al.
Publicado: (2023)

Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning
por: Slimani, Saad, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_nigubi09e9h2u9uhn82v7u7gfk