A5073614359- Functional Brain Connectivity Studies
- Brain Tumor Detection and Classification
- Advanced Neural Network Applications
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Medical Image Segmentation Techniques
- Diet and metabolism studies
- Bipolar Disorder and Treatment
- Advanced Wireless Communication Technologies
- Schizophrenia research and treatment
- Parkinson's Disease Mechanisms and Treatments
- Embedded Systems and FPGA Design
- Advanced Wireless Communication Techniques
- Cloud Computing and Remote Desktop Technologies
- IoT Networks and Protocols
- Infrared Thermography in Medicine
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Ultrasonics and Acoustic Wave Propagation
- Optical and Acousto-Optic Technologies
- Neurological disorders and treatments
- Human Pose and Action Recognition
- Sensor Technology and Measurement Systems
- Machine Learning and ELM
Tianjin University
2021-2024
Mbeya University of Science and Technology
2021-2024
A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no control over growth. Deep learning has been argued to have the potential overcome challenges associated detecting intervening in tumors. It well established that segmentation method can be used remove abnormal regions from brain, as this one of advanced technological classification detection tools. In case tumors, early disease achieved effectively using reliable A.I. Neural Network algorithms. This...
Parkinson's disease (PD) is a chronic neurodegenerative disorder characterized by bradykinesia, tremor, and rigidity among other symptoms. With 70% cumulative prevalence of dementia in PD, cognitive impairment neuropsychiatric symptoms are frequent.In this study, we looked at anatomical brain differences between groups patients controls. A total 138 people with PD were compared to 64 age-matched healthy using voxel-based morphometry (VBM). VBM fully automated technique that allows for the...
Background Schizophrenia affects about 1% of the global population. In addition to complex etiology, linking this illness genetic, environmental, and neurobiological factors, dynamic experiences associated with disease, such as delusions, hallucinations, disorganized thinking, abnormal behaviors, limit neurological consensuses regarding mechanisms underlying disease. Methods study, we recruited 72 patients schizophrenia 74 healthy individuals matched by age sex investigate structural brain...
Objective: Schizophrenia (SZ) is a functional mental condition that has significant impact on patients’ social lives. As result, accurate diagnosis of SZ attracted researchers’ interest. Based previous research, resting-state magnetic resonance imaging (rsfMRI) reported neural alterations in SZ. In this study, we attempted to investigate if dynamic connectivity (dFC) could reveal changes temporal interactions between patients and healthy controls (HC) beyond static (sFC) the cuneus, using...
Bipolar disorder (BD) is a mood swing illness characterized by episodes ranging from depressive lows to manic highs. Although the specific origin of BD unknown, genetics, environment, and changes in brain structure chemistry may all have role. Through magnetic resonance imaging (MRI) evaluations, this study looked into functional abnormalities involving striatum between group healthy controls (HC), compared whole-brain gray matter (GM) morphological patterns groups see whether connectivity...
Accurate segmentation of brain tumors from magnetic resonance 3D images (MRI) is critical for clinical decisions and surgical planning. Radiologists usually separate analyze by combining axial, coronal, sagittal views. However, traditional convolutional neural network (CNN) models tend to use information only a single view or one one. Moreover, the existing adopt multi-branch structure with different-size convolution kernels in parallel adapt various tumor sizes. difference kernels'...
Background: Bipolar disorder is a serious mental caused by strong mood fluctuations, affecting 2% of the world's population. People with bipolar experience both manic and depressive episodes, which can lead to suicidal thoughts changes in appetite, activity, focus. There are different subtypes disorder, cyclothymic being milder two. I characterized periods, while II marked hypomanic significant episodes. biological, genetic, environmental condition that affect anyone at any age. Methods: In...
This paper addresses the main crucial aspects of physical (PHY) layer channel coding in uplink NB-IoT systems. In systems, various algorithms are deployed due to nature adopted Long-Term Evolution (LTE) which presents a great challenge at expense high decoding complexity, power consumption, error floor phenomena, while experiencing performance degradation for short block lengths. For this reason, such design considerably increases overall system is difficult implement. Therefore, existing...
Background/Objectives: Magnetic Resonance Imaging (MRI) plays a vital role in brain tumor diagnosis by providing clear visualization of soft tissues without the use ionizing radiation. Given increasing incidence tumors, there is an urgent need for reliable diagnostic tools, as misdiagnoses can lead to harmful treatment decisions and poor outcomes. While machine learning has significantly advanced medical diagnostics, achieving both high accuracy computational efficiency remains critical...
Abstract Breast cancer is not only the most commonly occurring among women, but also frequent cause of cancer-related deaths in women developing countries. Mortality rate marginally higher countries than developed with about 60% death In Tanzania for example, breast second leading terms incidence and mortality after cervical cancer. Approximately half all diagnosed die disease. This due to poor shortage medical facilities screening diagnosis, number oncologists pathologists, diagnosis costs...
Medical imaging has expanded thanks to advances in processing power and advanced image analysis techniques, especially with magnetic resonance (MRI), which offers comprehensive body scans for diagnosis. This work proposes a simple yet efficient method use support vector machine (SVM) classify HIV neurocognitive MRI pictures into normal pathological categories. The model consists of four steps: data pre-processing, feature extraction, SVM classification, evaluation. To separate desired...
Recently, the use of convolutional neural networks for hand pose estimation from RGB images has dramatically improved. However, self-occluded keypoint inference in is still a challenging task. We argue that these occluded keypoints cannot be readily recognized directly traditional appearance features, and sufficient contextual information among especially needed to induce feature learning. Therefore, we propose new repeated cross-scale structure-induced fusion network learn about...