Automatic gestational age estimation from newborn babies’ facial photo analysis.

QR Code

Automatic gestational age estimation from newborn babies’ facial photo analysis.

Knowledge of the gestational age of a baby is important to determine if the baby is premature and to provide it with the necessary support and medication if any is required. According to the World Health Organization, more than 1 in 10 babies are born prematurely every year, and complications from t...

Full description

Bibliographic Details
Main Author:	Mosanya, Chidera Aristotle
Format:	Dissertation (University of Nottingham only)
Language:	English
Published:	2016
Subjects:	Age estimation gestational age artificial intelligence machine learning classification random forest deep learning convolutional neural network Caffe.
Online Access:	https://eprints.nottingham.ac.uk/39161/

Similar Items

Automatic Gestational Age Estimation Tool using Baby Feet Photographs
by: Singhal, Gautam
Published: (2016)

Automatic sea turtle nest detection via deep learning
by: Sanchez Castillo, Ricardo
Published: (2015)

Maternal selenium, copper and zinc concentrations in pregnancy associated with small-for-gestational-age infants
by: Mistry, Hiten D., et al.
Published: (2014)

3D face and body reconstruction via volumetric regression networks
by: Jackson, Aaron S.
Published: (2019)

Ultra high-resolution segmentation of biological images using reduced-memory convolutional neural networks with inter-tile communication
by: Benson, Ezenwoko
Published: (2022)

An investigation into automatic people counting and person re-identification
by: Xu, Bolei
Published: (2018)

Examining the impact of stratified sampling on model performance in automated image caption: a topic modelling approach
by: Nguyen, Anh
Published: (2020)

End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
by: Mfarej, Sumaya Dhari Awad
Published: (2021)

Deep Learning Using Tiny Domain-Specific Datasets with Sparse Labels
by: Smith, Thomas J
Published: (2021)

Automatic image annotation applied to habitat classification
by: Torres Torres, Mercedes
Published: (2015)

Deep Learning for Plant Phenotyping
by: Mori, Matteo
Published: (2016)

Deep neural networks for spam classification
by: Kasmani, Mohamed Khizer
Published: (2013)

Human pose estimation via convolutional part heatmap regression
by: Bulat, Adrian, et al.
Published: (2016)

Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Detection and Diagnosis in Pediatric Radiology: A Systematic Review
by: Ng, Curtise
Published: (2023)

A hybrid medical text classification framework: integrating attentive rule construction and neural network
by: Li, Xiang, et al.
Published: (2021)

Identification of potential plasma protein markers for gestational diabetes mellitus
by: Sangaran, Puspha Gandi
Published: (2012)

The effect of normal aging and age-related macular degeneration on perceptual learning
by: Astle, Andrew T., et al.
Published: (2015)

New approaches for the integration of the discrete cosine transform in neural networks for fine-grained image classification
by: Tan, Kelvin Sim Zhen
Published: (2025)

Diabetic retinopathy image classification with quantitative saliency-oriented visual explanation and SLIC-G image preprocessing methods
by: Lim, Wei Xiang
Published: (2024)

Artificial Intelligence for Radiation Dose Optimization in Pediatric Radiology: A Systematic Review
by: Ng, Curtise
Published: (2022)

Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices
by: Auret, L., et al.
Published: (2011)

Elective preterm birth for fetal gastroschisis (Review)
by: Grant, Natalie H., et al.
Published: (2013)

Factors associated with gestational diabetes mellitus among pregnant women in the Klang Valley, Malaysia
by: Thilliampalam, Deepa
Published: (2022)

Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
by: Mohamed Anuar, Mohamed Marzhar
Published: (2022)

Application of machine learning for fuel consumption modelling of trucks
by: Perrotta, Federico, et al.
Published: (2017)

Developing and improving methods for robust ensemble classification: an aggregation operator and clustering-classification approach
by: Agrawal, Utkarsh
Published: (2019)

Psychophysical correlates of global motion processing in the aging visual system: a critical review
by: Hutchinson, Claire V., et al.
Published: (2012)

An investigation of deep learning for image processing applications
by: Hou, Xianxu
Published: (2018)

Towards real-world clinical colonoscopy deep learning models for video-based bowel preparation and generalisable polyp segmentation
by: Haithami, Mahmood
Published: (2024)

Matrix Metalloproteinase -9 and Tissue Inhibitors of Metalloproteinasr-1 and -2 as Potential Novel Biomakers in Gestational Hypertension
by: Ab Hamid, Jabrullah
Published: (2010)

Figurative language detection using deep and contextual features
by: Razali, Md Saifullah
Published: (2023)

Classification and interpretation in quantitative structure-activity relationships
by: Bruce, Craig L.
Published: (2010)

The Cosmic Evolution of Galaxy Structure and Morphology at 0.5 < z < 8
by: Ferreira, Leonardo
Published: (2023)

Gestational age as a predictor for subsequent preterm birth in New South Wales, Australia
by: Pereira, Gavin, et al.
Published: (2021)

Gender Equality in Later Life
by: Austen, Siobhan
Published: (2019)

Deep learning models of biological visual information processing
by: Turcsány, Diána
Published: (2016)

Improving understanding of EEG measurements using transparent machine learning models
by: Roadknight, Chris, et al.
Published: (2019)

Sustainable Housing in Aged Care Facilities
by: Ringvall, Kate, et al.
Published: (2013)

Multi-source data fusion for land use classification using deep learning
by: Cao, Rui
Published: (2021)

Large-scale detection, mapping, and initial health assessment of date palm trees using multiplatform remotely-sensed data and deep learning techniques
by: Gibril, Mohamed Barakat Abdelfatah
Published: (2023)