Results 91 to 100 of about 192,101 (191)

EfficientNet‐B0–Based Screening of WBC‐Diff Scattergram Images for Hematological Abnormalities

Cancer Medicine, Volume 15, Issue 9, September 2026.
ABSTRACT White blood cell differential (WBC‐Diff) scattergrams are used to screen for hematological abnormalities in potential hematopoietic malignancies and abnormal conditions. However, these potential indications can be easily missed. We applied deep learning models to develop a new and rapid workflow by learning the characteristics of WBC‐Diff ...
Mingzhu Long, Xuan Luo, Lixia Zhang, Te Chen, Haixia Wang   +4 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

AI Real‐Time Compositing Algorithm for Film and Television Special Effects Based on Latent Space Diffusion Model

Engineering Reports, Volume 8, Issue 9, September 2026.
The proposed latent diffusion compositing framework achieves high‐quality, temporally coherent, and efficient real‐time video compositing for practical AI‐driven visual effects applications. ABSTRACT Artificial intelligence–driven visual effects have become increasingly important in film and television production; however, achieving high‐quality real ...
Bowen An, Yue Xie, Yalun Lei
wiley   +1 more source

SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction [PDF]

, 2022
Packaged fresh-cut lettuce is widely consumed as a major component of vegetable salad owing to its high nutrition, freshness, and convenience. However, enzymatic browning discoloration on lettuce cut edges significantly reduces product quality and shelf ...
Wang, Dayang, Xu, Yongshun, Zhang, Boce, Luo, Yaguang, Yu, Hengyong   +4 more
core  

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

A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi‐View Classification for Breast Cancer Detection in Mammograms

International Journal of Imaging Systems and Technology, Volume 36, Issue 5, September 2026.
ABSTRACT Mammography, an X‐ray–based imaging technique, remains central to the early detection of breast cancer. Recent advances in artificial intelligence have enabled increasingly sophisticated computer‐aided diagnostic methods, evolving from patch‐based classifiers to whole‐image approaches and then to multi‐view architectures that jointly analyze ...
Daniel G. P. Petrini, Hae Yong Kim
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

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