Deep learning models for diagnosis of schizophrenia using EEG signals: emerging trends, challenges, and prospects
Schizophrenia (ScZ) is a chronic neuropsychiatric disorder characterized by disruptions in
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …
A pyramidal spatial-based feature attention network for schizophrenia detection using electroencephalography signals
Automatic signal classification is utilized in various medical and industrial applications,
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …
Classification of Parkinson's disease EEG signals using 2D-MDAGTS model and multi-scale fuzzy entropy
J Li, X Li, Y Mao, J Yao, J Gao, X Liu - Biomedical Signal Processing and …, 2024 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder that causes changes in neurons,
behavior, and physiological structures. However, these changes are very subtle in the early …
behavior, and physiological structures. However, these changes are very subtle in the early …
An explainable deep learning-based method for schizophrenia diagnosis using generative data-augmentation
M Saadatinia, A Salimi-Badr - IEEE Access, 2024 - ieeexplore.ieee.org
Schizophrenia is an example of a rare mental disorder that is challenging to diagnose using
conventional methods. Deep learning methods have been extensively employed to aid in …
conventional methods. Deep learning methods have been extensively employed to aid in …
CALSczNet: Convolution Neural Network with Attention and LSTM for the Detection of Schizophrenia Using EEG Signals
N Almaghrabi, M Hussain, A Alotaibi - Mathematics, 2024 - mdpi.com
Schizophrenia (SZ) is a serious psychological disorder that affects nearly 1% of the global
population. The progression of SZ disorder causes severe brain damage; its early diagnosis …
population. The progression of SZ disorder causes severe brain damage; its early diagnosis …
Attention-Based Multiscale Deep Neural Network for Diagnosis of Polycystic Ovary Syndrome Using Ovarian Ultrasound Images
S Rashid, M Karnati, G Aggarwal… - … Congress on Ultra …, 2023 - ieeexplore.ieee.org
Polycystic Ovary Syndrome (PCOS) is a hormonal disorder that impacts a significant
proportion of women in their reproductive years. It results in irregular menstrual cycles and …
proportion of women in their reproductive years. It results in irregular menstrual cycles and …
DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Network for Detection of Breast Cancer from MRI Images
H Sinha, M Karnati, G Aggarwal… - … Congress on Ultra …, 2023 - ieeexplore.ieee.org
Breast cancer (BC) is a common type of cancer that develops from breast tissue cells. Early
detection is critical, and mammography is an important tool for this. A biopsy is indicated for …
detection is critical, and mammography is an important tool for this. A biopsy is indicated for …
Plant Disease Identification Using a Dual Self-Attention Modified Residual-Inception Network
The early detection of plant diseases reduces agricultural loss. In the field of computer vision
and pattern recognition, deep learning (DL) techniques, particularly convolutional neural …
and pattern recognition, deep learning (DL) techniques, particularly convolutional neural …
Attention-Based VGG-Residual-Inception Module for EEG-Based Depression Detection
Depression is a prevalent factor contributing to the increasing instances of suicide globally.
Consequently, there is a pressing need for effective diagnosis and therapeutic interventions …
Consequently, there is a pressing need for effective diagnosis and therapeutic interventions …
Attention-based Transfer Learning Approach using Spatial Pyramid Pooling for Diagnosis of Polycystic Ovary Syndrome
A considerable percentage of pregnant women are affected by PCOS, or polycystic ovarian
syndrome, a metabolic condition. It causes higher amounts of androgens, or male …
syndrome, a metabolic condition. It causes higher amounts of androgens, or male …