[PDF][PDF] Enhancing brain tumor classification with data augmentation and densenet121

NA Zebari, AAH Alkurdi, RB Marqas… - Academic Journal of …, 2023 - staff.lfu.edu.krd
This research paper presents a comprehensive study on the development and evaluation of
a brain tumor classification model using advanced image processing and deep learning …

Analysis and Research of Psychological Crisis Behavior Model Based on Improved Apriori Algorithm

Y Yan - International Journal of Human–Computer Interaction, 2024 - Taylor & Francis
A psychological crisis occurs when a person experiences extreme stress and finds
traditional coping strategies inadequate. Apriori algorithms mining collections of frequently …

Validation of endoplasmic reticulum stress-related gene signature to predict prognosis and immune landscape of patients with non-small cell lung cancer

Y Cui, X Zhou, D Zheng, Y Zhu - Technology and Health Care, 2024 - content.iospress.com
BACKGROUND: Lung cancer is one of the most common cancers worldwide, with the
incidence increasing each year. It is crucial to improve the prognosis of patients who have …

Analysis of glutathione stransferase mu class 5 gene methylation as a prognostic indicator in low-grade gliomas

C Wu, Y Li, Y Luo, Y Dai, J Qin, N Liu… - … and Health Care, 2024 - content.iospress.com
15 BACKGROUND: Low-grade gliomas (LGG) are a variety of brain tumors that show
different clinical outcomes. The methylation 16 of the GSTM5 gene has been noted in the …

Mental health rehabilitation of college students based on self-regulated music psychotherapy

N Lu - Entertainment Computing, 2024 - Elsevier
To improve the mental health rehabilitation effect of college students, this paper combines
the self-regulated music psychotherapy method to study the effect of mental health …

An Integrated Gesture Framework of Smart Entry Based on Arduino and Random Forest Classifier

SM Almufti, AM Abdulazeez - Indonesian Journal of Computer Science, 2024 - 3.8.6.95
Gesture-based systems have emerged as a prominent breakthrough in the field of smart
access control, effectively integrating security measures with user comfort. This study …

Research on denoising and enhancing methods of medical images based on convolutional neural networks

W Beibei - Concurrency and Computation: Practice and …, 2024 - Wiley Online Library
In the process of modern medical diagnosis, medical image‐assisted diagnosis plays a very
important role. However, the process of medical image acquisition, will be affected by …

IoT-based external attacks aware secure healthcare framework using blockchain and SB-RNN-NVS-FU techniques

R Kuppusamy, A Murugesan - Technology and Health Care, 2024 - content.iospress.com
BACKGROUND: In recent times, there has been widespread deployment of Internet of
Things (IoT) applications, particularly in the healthcare sector, where computations involving …

Parkinson Net: Convolutional Neural Network Model for Parkinson Disease Detection from Image and Voice Data

SR Borra, K Ritika, NA Reddy, N Shanvitha, T Anusha… - Informatica, 2024 - informatica.si
Parkinson's disease (PD) is a critical dopaminergic neuron problem that causes brain
disorders. The early prediction of PD can save human lives. So, computer-aided detection …

[HTML][HTML] A novel maternal thyroid disease prediction using multi-scale vision transformer architecture with improved linguistic hedges neural-fuzzy classifier

S Parveen, S Karthik, R Sabitha - Technology and Health …, 2024 - pmc.ncbi.nlm.nih.gov
BACKGROUND: Early pregnancy thyroid function assessment in mothers is covered. The
benefits of using load-specific reference ranges are well-established. OBJECTIVE: We …