A review on deep-learning algorithms for fetal ultrasound-image analysis

MC Fiorentino, FP Villani, M Di Cosmo, E Frontoni… - Medical image …, 2023 - Elsevier
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Artificial intelligence in obstetric ultrasound: A scoping review

R Horgan, L Nehme, A Abuhamad - Prenatal Diagnosis, 2023 - Wiley Online Library
The objective is to summarize the current use of artificial intelligence (AI) in obstetric
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …

TransFSM: Fetal anatomy segmentation and biometric measurement in ultrasound images using a hybrid transformer

L Zhao, G Tan, B Pu, Q Wu, H Ren… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Biometric parameter measurements are powerful tools for evaluating a fetus's gestational
age, growth pattern, and abnormalities in a 2D ultrasound. However, it is still challenging to …

Evolution of multiorgan segmentation techniques from traditional to deep learning in abdominal CT images–A systematic review

H Kaur, N Kaur, N Neeru - Displays, 2022 - Elsevier
Abdominal organ segmentation is the crucial research direction in computer assisted
diagnostic systems. Segmentation of multiple organs in medical images is known as …

[HTML][HTML] Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning

S Slimani, S Hounka, A Mahmoudi, T Rehah… - Nature …, 2023 - nature.com
Fetal biometry and amniotic fluid volume assessments are two essential yet repetitive tasks
in fetal ultrasound screening scans, aiding in the detection of potentially life-threatening …

[HTML][HTML] Segmentation-based vs. regression-based biomarker estimation: a case study of fetus head circumference assessment from ultrasound images

J Zhang, C Petitjean, S Ainouz - Journal of Imaging, 2022 - mdpi.com
The fetus head circumference (HC) is a key biometric to monitor fetus growth during
pregnancy, which is estimated from ultrasound (US) images. The standard approach to …

[HTML][HTML] Automatic segmentation of ameloblastoma on ct images using deep learning with limited data

L Xu, K Qiu, K Li, G Ying, X Huang, X Zhu - BMC Oral Health, 2024 - Springer
Background Ameloblastoma, a common benign tumor found in the jaw bone, necessitates
accurate localization and segmentation for effective diagnosis and treatment. However, the …

FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis

A Lasala, MC Fiorentino, A Bandini, S Moccia - … Medical Imaging and …, 2024 - Elsevier
Over the past decade, deep-learning (DL) algorithms have become a promising tool to aid
clinicians in identifying fetal head standard planes (FHSPs) during ultrasound (US) …

Analytical study of the encoder-decoder models for ultrasound image segmentation

S Srivastava, A Vidyarthi, S Jain - Service Oriented Computing and …, 2024 - Springer
Accurate diagnosis and treatment planning for medical conditions rely heavily on the results
of medical image segmentation. Medical images are available in many modalities like CT …

Research and application of tongue and face diagnosis based on deep learning

L Feng, ZH Huang, YM Zhong, WK Xiao… - Digital …, 2022 - journals.sagepub.com
Objective To explore the technical research and application characteristics of deep learning
in tongue-facial diagnosis. Methods Through summarizing the merits and demerits of current …