Machine learning to assess the fetal brain from ultrasound images

Machine learning to assess the fetal brain from ultrasound images

<p>Obstetric care decisions fundamentally rely upon accurate estimation of gestational age (GA). Ultrasound- (US) based measurements provide reliable estimates of GA, if performed early in pregnancy. However, in low-income settings, the lack of appropriately trained sonographers and the tenden...

書誌詳細
第一著者:	Namburete, A
その他の著者:	Noble, J
フォーマット:	学位論文
言語:	English
出版事項:	2015
主題:	Biomedical engineering Machine learning Image analysis Engineering

類似資料

Medical image analysis for simplified ultrasound protocols
著者:: Gleed, AD
出版事項: (2023)

Assessment of obstetric ultrasound images using machine learning
著者:: Rahmatullah, B
出版事項: (2012)

Improving deep-learning segmentation performance in 3D neuroimaging with minimal manual annotations
著者:: Venturini, L
出版事項: (2021)

Deep learning techniques to bridge the gap between 2D and 3D ultrasound imaging
著者:: Yeung, PH
出版事項: (2022)

A special section on methods and application in biomedical imaging – part 3
著者:: Liu, Feng, 等
出版事項: (2019)

Quantifying brain maturation in the preterm baby from EEG sleep analyses
著者:: Pillay, K
出版事項: (2018)

Experimenting with Extreme Learning Machine for Biomedical Image Classification
著者:: Francesco Mercaldo, 等
出版事項: (2023-07-01)

Machine Vision based Intelligent Breast Cancer Detection
著者:: Nof Yasir, 等
出版事項: (2022-03-01)

A special section on methods and application in biomedical imaging – part 1
著者:: Deniz, Luis Gomez, 等
出版事項: (2019)

A special section on methods and application in biomedical imaging – part 2
著者:: Deniz, Luis Gomez, 等
出版事項: (2019)

Machine learning for the detection of clinical deterioration on hospital wards
著者:: Shamout, F
出版事項: (2019)

Development of image-based method for the quantitative assessment of cartilage damage from CT as a biomarker in osteoarthritis
著者:: Zheng, J-Q
出版事項: (2024)

Quantification of fetal brain development from ultrasound images using interpretable deep learning
著者:: Hesse, LS
出版事項: (2023)

Prediction of fetal blood pressure during labour with deep learning techniques
著者:: Tolladay, J, 等
出版事項: (2023)

Prenatal assessment of placenta accreta spectrum disorders from ultrasound images using deep learning
著者:: Qi, H
出版事項: (2019)

On-chip generation of microbubbles in photoacoustic contrast agents for dual modal ultrasound/photoacoustic in vivo animal imaging
著者:: Das, Dhiman, 等
出版事項: (2018)

Segmentation and sizing of breast cancer masses with ultrasound elasticity imaging
著者:: von Lavante, E
出版事項: (2009)

Ultrasound parametric imaging and image analysis for breast cancer characterisation and treatment monitoring
著者:: Chuang, B
出版事項: (2014)

Automatic measurements of femoral characteristics using 3D ultrasound images in utero
著者:: Yaqub, M
出版事項: (2011)

A new technique for microbubble characterisation and the implications to contrast enhanced ultrasound
著者:: Rademeyer, P
出版事項: (2016)

Biomedical Applications of Infrared Thermal Imaging: Current State of Machine Learning Classification
著者:: Ricardo Vardasca, 等
出版事項: (2019-10-01)

Detection of epileptic seizures in EEG by using machine learning techniques
著者:: Muayed S AL-Huseiny, 等
出版事項: (2023-01-01)

Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications
著者:: Gonzales, RA
出版事項: (2024)

Diameter-dependent assessment of microvascular leakage following ultrasound-mediated blood-brain barrier opening
著者:: Sharon Katz, 等
出版事項: (2023-06-01)

Generation of 12-lead patient-specific electrocardiogram and risk prediction of cardiovascular disease using deep learning
著者:: Sang, Y
出版事項: (2023)

Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability
著者:: M. Muslim, Ali
出版事項: (2022)

Explainable machine learning of the breast cancer staging for designing smart biomarker sensors
著者:: Muhammad Idrees, 等
出版事項: (2022-01-01)

Spectral analysis of breast ultrasound data with application to mass sizing and characterization
著者:: Teixeira Ribeiro, R
出版事項: (2014)

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging /
著者:: Dey, Nilanjan, 1984-, editor 611303, 等
出版事項: (2019)

Time-efficient methods for non-invasive brain blood flow imaging using arterial spin labelling MRI
著者:: Woods, J
出版事項: (2019)

Connectivity driven registration of magnetic resonance images of the human brain
著者:: Petrović, A
出版事項: (2010)

Computer-aided analysis of fetal cardiac ultrasound videos
著者:: Bridge, C
出版事項: (2017)

MCI progression classification for early diagnosis of Alzheimer’s disease using machine learning and deep learning methods
著者:: Yan, Y
出版事項: (2020)

Investigating magnetically targeted microbubbles for ultrasound-enhanced thrombolysis
著者:: de Saint Victor, M
出版事項: (2016)

Development of biomedical image processing software package for new learners /
著者:: Lee, Chen Hsieng, 1988-, 等
出版事項: (2012)

Coherent photoacoustic-ultrasound correlation and imaging
著者:: Gao, Fei, 等
出版事項: (2014)

Quantitative histopathological assessment of liver fibrosis
著者:: Wojciechowska, M
出版事項: (2023)

Development of biomedical image processing software package for new learners [electronic resources] /
著者:: Lee, Chen Hsieng, 1988-, 等
出版事項: (2012)

Learning to study the developing brain: characterising brain development with machine learning, image analysis and ex vivo culture
著者:: Hailstone, M
出版事項: (2018)

Use of high intensity focused ultrasound to destroy subcutaneous fat tissue
著者:: Kyriakou, Z
出版事項: (2010)