Segmentation and classification in MRI and US fetal imaging: recent trends and future prospects

J Torrents-Barrena, G Piella, N Masoller… - Medical Image …, 2019 - Elsevier
Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance
imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural …

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

H Harandizadeh, DJ Armaghani - Applied Soft Computing, 2021 - Elsevier
Blasting operations typically have several negative impacts upon human beings and
constructions in adjacent region. Among all, air-overpressure (AOp) has been persistently …

[HTML][HTML] Role of four-chamber heart ultrasound images in automatic assessment of fetal heart: A systematic understanding

A Gudigar, RU, J Samanth, A Vasudeva, K Nayak… - Informatics, 2022 - mdpi.com
The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases
in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart …

Prediction of fetal state from the cardiotocogram recordings using neural network models

MS Iraji - Artificial intelligence in medicine, 2019 - Elsevier
The combination of machine vision and soft computing approaches in the clinical decisions,
using training data, can improve medical decisions and treatments. The cardiotocography …

Clinical decision support system for liver fibrosis prediction in hepatitis patients: A case comparison of two soft computing techniques

S El-Sappagh, F Ali, A Ali, A Hendawi, FA Badria… - IEEE …, 2018 - ieeexplore.ieee.org
Diagnosis of deadly diseases, such as liver fibrosis, is very important. Clinical decision
support systems (CDSSs) based on patient's historical medical data and accurate AI …

Dynamic contrast enhanced‐magnetic resonance imaging radiomics combined with a hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimization …

AG Tzalavra, I Andreadis, KV Dalakleidi… - Expert …, 2022 - Wiley Online Library
The authors propose a method for breast dynamic contrast enhanced‐magnetic resonance
imaging classification by combining radiomic texture analysis with a hybrid adaptive neuro …

Deep Learning Technique for Congenital Heart Disease Detection using Stacking-based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study

T Rahman, MKAA Al-Ruweidi, MSI Sumon… - IEEE …, 2023 - ieeexplore.ieee.org
Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age.
Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current …

CNN and XGBoost Based Hybrid Model in Classification of Fetal Ultrasound Scan Planes Images in Detection of Congenital Heart Defects

S Satish, S Sridevi - IoT Based Control Networks and Intelligent Systems …, 2022 - Springer
This work focuses on hybrid models in the classification of ultrasound scan planes in the
detection of congenital heart abnormalities. The key elements of both the Deep Learning …

An integrated human reliability based decision pool generating and decision making method for power supply system in LNG terminal

R Zhang, H Tan - Safety science, 2018 - Elsevier
In this paper, an integrated model is presented to support human reliability based decision
producing and making process by evaluating safety promotion plan for power supply system …

Neuro-fuzzy based medical decision support system for coronary artery disease diagnosis and risk level prediction

AH Kishore, VE Jayanthi - Journal of Computational and …, 2018 - ingentaconnect.com
A hybrid Medical Decision Support System (MDSS) is proposed for predicting and
diagnosing Coronary Artery Disease (CAD). Artificial Neural Network (ANN) and Adaptive …