DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network
Z Zhao, Y Deng, Y Zhang, Y Zhang, X Zhang… - BMC medical informatics …, 2019 - Springer
Background Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to
evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation …
evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation …
Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning
EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
Pneumonia is one of the diseases that people may encounter in any period of their lives.
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
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 …
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
Lung cancer is a disease caused by the involuntary increase of cells in the lung tissue. Early
detection of cancerous cells is of vital importance in the lungs providing oxygen to the …
detection of cancerous cells is of vital importance in the lungs providing oxygen to the …
Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
Maize is one of the most significant grains cultivated all over the world. Doubled-haploid is
an important technique in terms of advanced maize breeding, modern crop improvement …
an important technique in terms of advanced maize breeding, modern crop improvement …
An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification
M Liu, Y Lu, S Long, J Bai, W Lian - Expert Systems with Applications, 2021 - Elsevier
Cardiotocography (CTG) is widely used in fetal monitoring, especially in the diagnosis of
fetal acidosis. However, the manual interpretation of CTG analysis may easily lead to a low …
fetal acidosis. However, the manual interpretation of CTG analysis may easily lead to a low …
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
White blood cells are cells in the blood and lymph tissue produced by the bone marrow in
the human body. White blood cells are an important part of the immune system. The most …
the human body. White blood cells are an important part of the immune system. The most …
Alcoholism identification based on an AlexNet transfer learning model
SH Wang, S Xie, X Chen, DS Guttery, C Tang… - Frontiers in …, 2019 - frontiersin.org
Aim: This paper proposes a novel alcoholism identification approach that can assist
radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning …
radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning …
Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method
A proper and certain brain tumor MRI classification has a significant role in current clinical
diagnosis, decision making as well as managing the treatment programs. In clinical practice …
diagnosis, decision making as well as managing the treatment programs. In clinical practice …