Results 71 to 80 of about 9,200 (172)

Advances in high‐resolution photoacoustic imaging techniques for cellular visualization

VIEW, Volume 7, Issue 1, February 2026.
Photoacoustic imaging has gained increasing attention for its potential in high‐resolution microscopy, particularly in the context of cellular visualization. This review highlights recent advancements in high‐resolution photoacoustic imaging techniques aimed at visualizing cellular structures, particularly explore key system configurations, imaging ...
Hyunjun Kye, Moon Sung Kang, Dongyoung Jo, Byullee Park, Hee Jeong Jang, Jeesu Kim, Dong‐Wook Han   +6 more
wiley   +1 more source

SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions

IEEE Access
To mitigate the domain differences between infrared and visible light images and address the challenges of data annotation and poor pedestrian detection performance in low-light environments, we propose a semi-supervised cross-domain YOLOv8 pedestrian ...
Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang   +8 more
doaj   +1 more source

SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN

Scientific Reports
AbstractCrop disease detection and crop baking stage judgement require large image data to improve accuracy. However, the existing crop disease image datasets have high asymmetry, and the poor baking environment leads to image acquisition difficulties and colour distortion.
Dian Liu, Yang Cao, Jing Yang, Jianyu Wei, Jili Zhang, Chenglin Rao, Banghong Wu, Dabin Zhang   +7 more
openaire   +3 more sources

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Knowledge‐based deep residual U‐Net (DRU) for synthetic CT generation using a single MR volume for frameless radiosurgery

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Purpose To develop a knowledge‐based deep model for sCT generation from a single MR volume in LINAC‐based frameless SRS, enabling the MR‐only workflow without extra CT simulation. Methods A total of 139 patients were included in the study, with 120 used for training and 19 for testing.
Xiwen Shu, Ke Lu, Jingtong Zhao, John Ginn, Yongbok Kim, Zhenyu Yang, Justus Adamson, Trey Mullikin, Chunhao Wang   +8 more
wiley   +1 more source

An Enhanced Cycle Generative Adversarial Network Approach for Nighttime Pineapple Detection of Automated Harvesting Robots

Agronomy
Nighttime pineapple detection for automated harvesting robots is a significant challenge in intelligent agriculture. As a crucial component of robotic vision systems, accurate fruit detection is essential for round-the-clock operations.
Fengyun Wu, Rong Zhu, Fan Meng, Jiajun Qiu, Xiaopei Yang, Jinhui Li, Xiangjun Zou   +6 more
doaj   +1 more source

Depth image conversion model based on CycleGAN for growing tomato truss identification

Plant Methods, 2022
Background On tomato plants, the flowering truss is a group or cluster of smaller stems where flowers and fruit develop, while the growing truss is the most extended part of the stem.
Dae-Hyun Jung, Cheoul Young Kim, Taek Sung Lee, Soo Hyun Park   +3 more
doaj   +1 more source

Attention-Enhanced Unpaired xAI-GANs for Transformation of Histological Stain Images

Journal of Imaging
Histological staining is the primary method for confirming cancer diagnoses, but certain types, such as p63 staining, can be expensive and potentially damaging to tissues.
Tibor Sloboda, Lukáš Hudec, Matej Halinkovič, Wanda Benesova   +3 more
doaj   +1 more source

Conditional Synthetic Live and Spoof Fingerprint Generation

IET Biometrics, Volume 2026, Issue 1, 2026.
Large fingerprint datasets, while important for training and evaluation, are time‐consuming and expensive to collect and require strict privacy measures. Researchers are exploring the use of synthetic fingerprint data to address these issues. This article presents a novel approach for generating synthetic fingerprint images (both spoof and live ...
Syed Konain Abbas, Sandip Purnapatra, M. G. Sarwar Murshed, Conor Miller-Lynch, Lambert Igene, Soumyabrata Dey, Stephanie Schuckers, Faraz Hussain, Claus Vielhauer   +8 more
wiley   +1 more source

A Contrastive GAN‐Based Framework for Full‐Body Visual Privacy Protection in Open World Scenarios

IET Communications, Volume 20, Issue 1, January/December 2026.
In this paper, we propose an end‐to‐end, contrastive GANs‐based framework, FBPPGAN, for image full‐body visual privacy protection. First, we introduce the architecture of FBPPGAN, which is tailored for full‐body visual privacy protection. Second, we propose a novel adversarial loss function aimed at mitigating mode collapse and instability ...
Haolong Fu, Xuan He
wiley   +1 more source