Results 81 to 90 of about 8,226 (198)

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

Journal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah, Grammatiki Lioliou, Dai Chen, Alexander Denker, Peter Munro, Marco Endrizzi, Alberto Astolfo, Alessandro Olivo, Charlotte K. Hagen   +8 more
wiley   +1 more source

Sample‐Efficient Transfer Learning for Histopathological Detection of HNSCC

Journal of Oral Pathology &Medicine, EarlyView.
ABSTRACT Background Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with increasing incidence. Histopathological assessment remains the diagnostic gold standard, but is labor‐intensive and affected by a growing shortage of specialized pathologists.
Till Nicke, Fleming Wolf‐Eli Michelsen, Jan‐Raphael Schäfer, Jonas Wuester, Marc Christian Metzger, Rainer Schmelzeisen, Gian Kayser, Andreas Weber‐Steinhilber, Joachim Georgii, Johannes Lotz, Leonard Simon Brandenburg   +10 more
wiley   +1 more source

Pavement Crack Detection Based on the Improved Swin-Unet Model

Buildings
Accurate pavement surface crack detection is crucial for analyzing pavement survey data and the development of maintenance strategies. On the basis of Swin-Unet, this study develops the improved Swin-Unet (iSwin-Unet) model with the developed skip ...
Song Chen, Zhixuan Feng, Guangqing Xiao, Xilong Chen, Chuxiang Gao, Mingming Zhao, Huayang Yu   +6 more
doaj   +1 more source

Artificial Intelligence in Orthodontics: Part 1—Basic Concepts

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly being integrated into orthodontic research and clinical practice. This review paper consists of three parts and aims to establish a foundational understanding of AI concepts for readers from non‐technical backgrounds while familiarising them with its applications and challenges within the field of ...
Fatemeh Sohrabniya, Khuram Naveed, Hossein Mohammad‐Rahimi, Julian Woolley, Sara Haghighat, Peter Bangsgaard Stoustrup, Ruben Pauwels   +6 more
wiley   +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

Cross‐Modal Artificial Intelligence Integrating Dynamic MRI and Clinical Data for Breast Cancer Diagnosis and Nodal Metastasis Prediction

MedComm – Oncology, Volume 5, Issue 4, December 2026.
A multicenter artificial intelligence framework was developed and externally validated for breast lesion classification and axillary lymph node metastasis prediction. Using dynamic contrast‐enhanced MRI alone for lesion classification and integrating MRI with preoperative clinical and biopsy‐derived information for nodal prediction, the framework ...
Wei Ren, Zifan He, Zhixian Deng, Zhenjun Huang, Gengxi Cai, Xiaohua Ban, Qiugen Hu, Zebang Zhang, Luhui Mao, Yujie Tan, Qing Peng, Zehua Wang, Ruichong Lin, Xian Yang, Xiaohui Duan, Herui Yao, Yunfang Yu   +16 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

Beyond Pigment Loss: Integrating Clinician‐Reported Outcomes, Patient‐Reported Outcomes, and Digital Biometrics to Quantify Vitiligo Morbidity

Dermatological Reviews, Volume 7, Issue 5, October 2026.
ABSTRACT Background Vitiligo is an autoimmune depigmenting disease with multiple facets to disease severity. Accurate assessment of severity and therapeutic response is essential for both clinical care and research. Methods This narrative review summarizes outcome measures for assessing different aspects of vitiligo severity, including extent, activity,
Shrruthi Velavan, Vishal Gupta
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 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