Artificial intelligence and machine learning in electronic fetal monitoring
Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …
activity. The signals produced by the fetal heart carry valuable information about fetal health …
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
A brain tumor is a mass that grows unevenly in the brain and directly affects human life. This
mass occurs spontaneously because of the tissues surrounding the brain or the skull …
mass occurs spontaneously because of the tissues surrounding the brain or the skull …
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Breast cancer is one of the most commonly diagnosed cancer types in the woman and
automatically classifying breast cancer histopathological images is an important task in …
automatically classifying breast cancer histopathological images is an important task in …
Artificial intelligence and machine learning in cardiotocography: A scoping review
JL Aeberhard, AP Radan, R Delgado-Gonzalo… - European Journal of …, 2023 - Elsevier
Introduction Artificial intelligence (AI) is gaining more interest in the field of medicine due to
its capacity to learn patterns directly from data. This becomes interesting for the field of …
its capacity to learn patterns directly from data. This becomes interesting for the field of …
Fetal health classification from cardiotocographic data using machine learning
A Mehbodniya, AJP Lazar, J Webber… - Expert …, 2022 - Wiley Online Library
Health complications during the gestation period have evolved as a global issue. These
complications sometimes result in the mortality of the fetus, which is more prevalent in …
complications sometimes result in the mortality of the fetus, which is more prevalent in …
Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive …
Invasive ductal carcinoma cancer, which invades the breast tissues by destroying the milk
channels, is the most common type of breast cancer in women. Approximately, 80% of …
channels, is the most common type of breast cancer in women. Approximately, 80% of …
Accessing artificial intelligence for fetus health status using hybrid deep learning algorithm (AlexNet-SVM) on cardiotocographic data
Artificial intelligence is serving as an impetus in digital health, clinical support, and health
informatics for an informed patient's outcome. Previous studies only consider classification …
informatics for an informed patient's outcome. Previous studies only consider classification …
Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier
R Zeng, Y Lu, S Long, C Wang, J Bai - Computers in Biology and Medicine, 2021 - Elsevier
Background Cardiotocography (CTG) signal abnormality classification plays an important
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …
A novel application based on spectrogram and convolutional neural network for ECG classification
Electrocardiogram (ECG) is a biomedical signal which represents the electrical activity of the
human heart. Various cardiac diseases have been detected using the outputs of ECG …
human heart. Various cardiac diseases have been detected using the outputs of ECG …
Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals
Cardiotocography (CTG) is a screening tool used in daily obstetric practice to determine fetal
wellbeing. Its interpretation is generally performed visually by the field experts, and this …
wellbeing. Its interpretation is generally performed visually by the field experts, and this …