Adversarial Network-Based Classification for Alzheimer's Disease Using Multimodal Brain Images: A Critical Analysis

M Gupta, R Kumar, A Abraham - IEEE Access, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that represents a
significant and growing public health challenge. This work concisely summarizes AD …

Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks

MK Abd-Ellah, AI Awad, AAM Khalaf, AM Ibraheem - Scientific reports, 2024 - nature.com
The use of various kinds of magnetic resonance imaging (MRI) techniques for examining
brain tissue has increased significantly in recent years, and manual investigation of each of …

PyQDCNN: Pyramid QDCNNet for multi-level brain tumor classification using MRI image

CP Jetlin - Biomedical Signal Processing and Control, 2025 - Elsevier
The abnormal growth of group of tissues or cells inside the brain is termed as brain tumor
(BT). It happens when cells in the brain grow abnormally. In recent times, a major cause of …

Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology

V Anand, S Gupta, D Koundal, WY Alghamdi… - BMC Medical …, 2024 - Springer
The research focuses on the segmentation and classification of leukocytes, a crucial task in
medical image analysis for diagnosing various diseases. The leukocyte dataset comprises …

HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer's disease

X Liu, W Li, S Miao, F Liu, K Han, TT Bezabih - Computers in Biology and …, 2024 - Elsevier
Alzheimer's disease (AD) is a progressive neurodegenerative condition, and early
intervention can help slow its progression. However, integrating multi-dimensional …

CerviFusionNet: A multi-modal, hybrid CNN-transformer-GRU model for enhanced cervical lesion multi-classification

Y Sha, Q Zhang, X Zhai, M Hou, J Lu, W Meng, Y Wang… - iScience, 2024 - cell.com
Cervical lesions pose a significant threat to women's health worldwide. Colposcopy is
essential for screening and treating cervical lesions, but its effectiveness depends on the …

Brain-Computer Interfaces Inspired Spiking Neural Network Model for Depression Stage Identification

MA Ponrani, M Anand, M Alsaadi, AK Dutta… - Journal of Neuroscience …, 2024 - Elsevier
Background Depression is a global mental disorder, and traditional diagnostic methods
mainly rely on scales and subjective evaluations by doctors, which cannot effectively identify …

A novel approach of brain-computer interfacing (BCI) and Grad-CAM based explainable artificial intelligence: Use case scenario for smart healthcare

K Lamba, S Rani - Journal of Neuroscience Methods, 2024 - Elsevier
Background In order to push the frontiers of brain-computer interface (BCI) and neuron-
electronics, this research presents a novel framework that combines cutting-edge …

A Deep Learning Based Intelligent Decision Support System for Automatic Detection of Brain Tumor

Z Ullah, M Jamjoom… - Biomedical …, 2024 - journals.sagepub.com
Brain tumor (BT) is an awful disease and one of the foremost causes of death in human
beings. BT develops mainly in 2 stages and varies by volume, form, and structure, and can …

RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study

S Okazaki, Y Mine, Y Yoshimi, Y Iwamoto, S Ito… - Journal of imaging …, 2024 - Springer
Transfer learning (TL) is an alternative approach to the full training of deep learning (DL)
models from scratch and can transfer knowledge gained from large-scale data to solve …