Attention-based deep learning approaches in brain tumor image analysis: A mini review

M Saraei, S Liu - Frontiers in Health Informatics, 2023 - researchers.mq.edu.au
Introduction: Accurate diagnosis is crucial for brain tumors, given their low survival rates and
high treatment costs. However, traditional methods relying on manual interpretation of …

Inverse design of potential metastructures inspired from Indian medieval architectural elements

B Bhattacharya, T Gupta, AK Sharma, A Dwivedi… - arxiv preprint arxiv …, 2024 - arxiv.org
In this study, we immerse in the intricate world of patterns, examining the structural details of
Indian medieval architecture for the discovery of motifs with great application potential from …

Accurate Bladder Cancer Classification and Prognosis with a Hybrid Vision Transformer.

R Alkhalidy, E AlShemmary… - International Journal of …, 2025 - search.ebscohost.com
Bladder cancer, a common and increasingly prevalent malignant neoplasm, has become a
major threat to public health. The major significance enjoyed by this combination is that it …

Robust Bayesian Vision Transformer for Image Analysis and Classification

FRB Karim, D Dera - 2023 IEEE Western New York Image and …, 2023 - ieeexplore.ieee.org
The tremendous success of the Transformer neural networks in natural language processing
(NLP) boosts the interest in integrating and applying Transformer models to computer vision …

Photoplethysmogram (PPG)-Based Blood Pressure Estimation using Vision Transformer Networks: A Deep Learning Approach

SH Darbhasayanam, HAA Mohammad… - … For Internet of …, 2024 - ieeexplore.ieee.org
Accurate blood pressure (BP) assessment is vital for effective cardiovascular health
management. Traditionally, techniques such as Pulse Transit Time (PTT) utilized both …

Artificial Intelligence and Deep Learning in the Early Detection of Colorectal Cancer

T Arficho - 2023 - search.proquest.com
Colorectal cancer, which affects the human digestive system, is the second deadliest cancer
worldwide. Early detection of this cancer is challenging due to its subtle symptoms, which …