Results 101 to 110 of about 14,679 (231)

Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction

, 2022
The paper proposes a novel hybrid discovery Radiomics framework that simultaneously integrates temporal and spatial features extracted from non-thin chest Computed Tomography (CT) slices to predict Lung Adenocarcinoma (LUAC) malignancy with minimum ...
Afshar, Parnian, Heidarian, Shahin, Khademi, Sadaf, Mohammadi, Arash, Naderkhani, Farnoosh, Oikonomou, Anastasia, Plataniotis, Konstantinos   +6 more
core  

Classifying Deepfakes Using Swin Transformers

3 ...
Xi, Aprille J., Chen, Eason
openaire   +2 more sources

Bone Metastasis: Molecular Mechanisms, Clinical Management, and Therapeutic Targets

MedComm, Volume 7, Issue 2, February 2026.
This figure emphasizes current understanding of the regulatory networks, approach of diagnose, available preclinical models and clinical management of bone metastasis. to guide future therapeutic development. A deep understanding of these aspects enables the prevention of bone metastasis and the implementation of effective therapeutic strategies ...
Jingyuan Wen, Binghua Li, Shengjia Wang, Yongzhong Yao, Zhao Huang, Decai Yu   +5 more
wiley   +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

Image reconstruction and elongation artifact reduction for a dual‐panel dedicated prostate PET scanner

Medical Physics, Volume 53, Issue 2, February 2026.
Abstract Background The development of PET scanners dedicated to high temporal and spatial resolution organ‐specific imaging is an active research area, motivated by the need for cost reduction, improved lesion detectability and quantification in specific clinical scenarios, as well as by ongoing hardware and software innovations.
Abdollah Saberi Manesh, Mehdi Amini, Yazdan Salimi, Katayoun Doroud, Crispin Williams, Themistoklis Williams, Hossein Arabi, Habib Zaidi   +7 more
wiley   +1 more source

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

A Recognition and Classification Method for Underground Acoustic Emission Signals Based on Improved CELMD and Swin Transformer Neural Networks

Applied Sciences
To address the challenges in processing and identifying mine acoustic emission signals, as well as the inefficiency and inaccuracy issues prevalent in existing methods, an enhanced CELMD approach is adopted for preprocessing the acoustic emission signals.
Xuebin Xie, Yunpeng Yang
doaj   +1 more source

Detection of Eye Occurrence in Sequential Satellite Infrared Imagery and Its Application to Improve Deep Learning‐Based Tropical Cyclone Intensity Estimation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Tropical cyclone (TC) intensity estimation remains a critical yet challenging task, especially for intense storms that are often underestimated by both conventional and deep learning satellite‐based methods. Among various structural features, eye formation is the most distinct transformation during TC development and is closely linked to rapid
Yi Liu, Jing‐Yi Zhuo, Kekuan Chu, Zhe‐Min Tan   +3 more
wiley   +1 more source

A novel framework for rosacea detection using Swin Transformers and explainable artificial intelligence

Alexandria Engineering Journal
Accurate and efficient diagnosis of skin rosacea is crucial in dermatological healthcare, yet remains challenging due to the need for precise classification and interpretability.
Anjali T, S. Abhishek, Remya S
doaj   +1 more source

Should all Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Geophysical data collected from active field sites are often contaminated by complex and heterogeneous noise, obscuring weak seismic events, and complicating automated interpretation. Although deep learning offers promising solutions for seismic processing, its performance is highly sensitive to the nature of training noise, especially under ...
S. Alsinan, M. Makarenko, S. Liu, A. Aldawood, I. Hoteit   +4 more
wiley   +1 more source