Results 101 to 110 of about 2,105 (150)

Vision‐Language Models for Automated Chest X‐ray Interpretation: Leveraging ViT and GPT‐2

Engineering Reports
Radiology plays a pivotal role in modern medicine due to its non‐invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time‐consuming and prone to errors.
Md. Rakibul Islam, Md. Zahid Hossain, Mustofa Ahmed, Most. Sharmin Sultana Samu   +3 more
doaj   +1 more source

Off-line identifying Script Writers by Swin Transformers and ResNeSt-50

ELCVIA Electronic Letters on Computer Vision and Image Analysis
In this work, we present two advanced models for identifying script writers, leveraging the power of deep learning. The proposed systems utilize the new vision Swin Transformer and ResNeSt-50.
Afef Kacem Echi, Takwa Ben Aïcha Gader
doaj   +1 more source

Progressive Refinement Autoencoder for Low‐Dose Computed Tomography Enhancement

International Journal of Imaging Systems and Technology, Volume 36, Issue 5, September 2026.
ABSTRACT The use of ionizing radiation in diagnostic imaging is a common practice worldwide. However, the imaging process itself carries relative risks. Therefore, it is recommended to employ the lowest possible dose of ionizing radiation, especially in computed tomography (CT) imaging, where a series of X‐ray scans are utilized to reconstruct images ...
Ahmet Demir, Mohamad M. A. Ashames, Omer N. Gerek, Semih Ergin, Mehmet Fidan, Mehmet Koc, M. Bilginer Gulmezoglu, Rifat Edizkan, Idil Isikli Esener, Gulin Elibol Secil, Sezgin Secil, Atalay Barkana, Cuneyt Calisir   +12 more
wiley   +1 more source

A self attention based deep learning framework for accurate and efficient dental disease detection in OPG radiographs

Scientific Reports
Oral diseases are increasing now-a-days and there is a high demand for the automatic diagnostic system that helps the clinician to detect these oral diseases with more accuracy and reduced human error.
Ramasubramanian Bhoopalan, S. Mirdula, Priyadharshini Kannusamy, D. Gayathri, D. Manikandan, Krishnaraj Ramaswamy   +5 more
doaj   +1 more source

A New Subject-Sensitive Hashing Algorithm Based on Multi-PatchDrop and Swin-Unet for the Integrity Authentication of HRRS Image

ISPRS International Journal of Geo-Information
Transformer-based subject-sensitive hashing algorithms exhibit good integrity authentication performance and have the potential to ensure the authenticity and convenience of high-resolution remote sensing (HRRS) images.
Kaimeng Ding, Yingying Wang, Chishe Wang, Ji Ma   +3 more
doaj   +1 more source

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

Journal of Periodontology, Volume 97, Issue 9, Page 1847-1859, September 2026.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics, Balint Molnar, Csaba Pinter, David García‐Mato, Andres Diaz‐Pinto, Attila Tanacs, Andrea Dobos, Peter Windisch, Christoph A. Ramseier   +8 more
wiley   +1 more source

Machine Learning‐Based Postprocessing Ensemble of AI and NWP Models for Short‐Term Air Temperature Forecasting Over Beijing

Meteorological Applications, Volume 33, Issue 5, September/October 2026.
Integrating data‐driven weather prediction models and physics‐based NWP models via machine‐learning ensembles significantly enhances short‐term air temperature forecasts over Beijing. The XGBoost‐based ensemble reduces RMSE by over 20% relative to the simple ensemble mean baseline by effectively mitigating systematic bias and diurnal phase shifts ...
Peng He, Chenxi Jin, Yan Dong, Chen Qi, Ting Lei   +4 more
wiley   +1 more source

Image Databases for Pollen Grain Classification: Availability, Quality, and Challenges

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of the study process, from identifying gaps in pollen image databases to a systematic search across six libraries, resulting in 73 final studies, 18 datasets (10 public), and a seven‐point standardization framework proposed under FAIR principles.
Heloise Acco Tives Bedin, Simone de Ramos, André Roberto Ortoncelli, Paula Fernandes Montanher, Patricia A. Jaques   +4 more
wiley   +1 more source

Time Series Domain Adaptation: A Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
This survey provides a comprehensive and systematic review of TSDA methods from the perspectives of access‐privacy constraints, category‐space semantics, and source‐target topology, three orthogonal axes that unify existing approaches within a common taxonomy.
M. T. Furqon, Mahardhika Pratama, Wisnu Jatmiko   +2 more
wiley   +1 more source

Transfer Learning With U-Swin Transformer for Adaptive Ground Roll Attenuation in Seismic Records From Sabkha Environments

IEEE Access
Ground roll is a dominant coherent noise in land seismic data, characterized by low frequency, low velocity, and high amplitude. often overlaps with reflection arrivals, thereby reducing the reliability of seismic imaging and interpretation.
Ahmed Eleslambouly, Guibin Zhao, Fateh Bouchaala, Mohammed Y. Ali, Jun Matsushima   +4 more
doaj   +1 more source