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 …
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
diagnosing Coronary Artery Disease (CAD). Artificial Neural Network (ANN) and Adaptive …