[PDF][PDF] Technological Advancements in Augmented, Mixed, and Virtual Reality Technologies for Surgery: A Systematic Review

AY Sang, X Wang, L Paxton - Cureus, 2024‏ - cureus.com
Recent advancements in artificial intelligence (AI) have shown significant potential in the
medical field, although many applications are still in the research phase. This paper …

NeuroInsight: a revolutionary self-adaptive framework for precise brain tumor classification in medical imaging using adaptive deep learning

S Arora, GS Mishra - Signal, Image and Video Processing, 2025‏ - Springer
This paper presents a new framework for classifying brain tumours, using a self-adaptive
technique to improve image processing. The framework utilises a carefully selected dataset …

Neural network-based prediction of auto-ignition temperature of ternary mixed liquids

B Guo, Z Cheng, S Hu - Heliyon, 2024‏ - cell.com
Auto-ignition temperature (AIT) is one of the crucial exponents in the design of fire and
explosion safety measures. Therefore, in this study, quantitative structure-property …

[HTML][HTML] Exploring the Roles and Clinical Potential of Exosome-Derived Non-Coding RNAs in Glioma

P **, X Bai - IBRO Neuroscience Reports, 2025‏ - Elsevier
Abstract Non-coding accounts for 98%-99% of the human genome and performs many
essential regulatory functions in eukaryotes, involved in cancer development and …

Machine Learning-based Brain Tumor Segmentation: A Comprehensive‎ Review

RS Aleesa, N kadhim Al-bermani… - … of University of …, 2024‏ - journalofbabylon.com
Segmentation of Brain tumors refers to a crucial function in medical image processing.
Despite a lot of main attempts and satisfactory results in such a field, appropriate …

[فهرست منابع][C] Can generative adversarial networks and transfer learning be leveraged to work around general data protection regulations?

FJMP Sequeira - 2025