Distinguishing malicious drones using vision transformer
Drones are commonly used in numerous applications, such as surveillance, navigation,
spraying pesticides in autonomous agricultural systems, various military services, etc., due …
spraying pesticides in autonomous agricultural systems, various military services, etc., due …
Colour and texture descriptors for visual recognition: A historical overview
Colour and texture are two perceptual stimuli that determine, to a great extent, the
appearance of objects, materials and scenes. The ability to process texture and colour is a …
appearance of objects, materials and scenes. The ability to process texture and colour is a …
[HTML][HTML] Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …
Fractured elbow classification using hand-crafted and deep feature fusion and selection based on whale optimization approach
S Malik, J Amin, M Sharif, M Yasmin, S Kadry, S Anjum - Mathematics, 2022 - mdpi.com
The fracture of the elbow is common in human beings. The complex structure of the elbow,
including its irregular shape, border, etc., makes it difficult to correctly recognize elbow …
including its irregular shape, border, etc., makes it difficult to correctly recognize elbow …
Fine-Grained and Multiple Classification for Alzheimer's Disease With Wavelet Convolution Unit Network
In this article, we propose a novel wavelet convolution unit for the image-oriented neural
network to integrate wavelet analysis with a vanilla convolution operator to extract deep …
network to integrate wavelet analysis with a vanilla convolution operator to extract deep …
An improved faster RCNN-based weld ultrasonic atlas defect detection method
C Chen, S Wang, S Huang - Measurement and control, 2023 - journals.sagepub.com
In view of the complex multi-scale target detection environment of ultrasonic atlas of weld
defect and the poor detection performance of existing algorithms for the multiple small target …
defect and the poor detection performance of existing algorithms for the multiple small target …
Enhancing X-ray-Based Wrist Fracture Diagnosis Using HyperColumn-Convolutional Block Attention Module
J Oh, S Hwang, J Lee - Diagnostics, 2023 - mdpi.com
Fractures affect nearly 9.45% of the South Korean population, with radiography being the
primary diagnostic tool. This research employs a machine-learning methodology that …
primary diagnostic tool. This research employs a machine-learning methodology that …
CB‐HRNet: A Class‐Balanced High‐Resolution Network for the evaluation of endoscopic activity in patients with ulcerative colitis
G Wang, S Zhang, J Li, K Zhao, Q Ding… - Clinical and …, 2023 - Wiley Online Library
Endoscopic evaluation is the key to the management of ulcerative colitis (UC). However,
there is interobserver variability in interpreting endoscopic images among …
there is interobserver variability in interpreting endoscopic images among …
Velocity Estimations in Blood Microflows via Machine Learning Symmetries
G Alfonso Perez, JV Colchero Paetz - Symmetry, 2024 - mdpi.com
Improving velocity forecasts of blood microflows could be useful in biomedical applications.
We focus on estimating the velocity of the blood in capillaries. Modeling blood microflow in …
We focus on estimating the velocity of the blood in capillaries. Modeling blood microflow in …
Artificial intelligence model for analyzing colonic endoscopy images to detect changes associated with irritable bowel syndrome
K Tabata, H Mihara, S Nanjo, I Motoo, T Ando… - PLOS digital …, 2023 - journals.plos.org
IBS is not considered to be an organic disease and usually shows no abnormality on lower
gastrointestinal endoscopy, although biofilm formation, dysbiosis, and histological …
gastrointestinal endoscopy, although biofilm formation, dysbiosis, and histological …