Results 91 to 100 of about 5,457 (203)

Manifold-enhanced CycleGAN for facial expression synthesis

, 2023
Facial expressions contain a great deal of information in inter-personal communication and social interaction and have a great impact on face recognition.
Huang, Yating, Yin, Hujun; id_orcid, Hujun Yin, Yating Huang   +3 more
core   +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

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

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

Dual‐view scout scans with deep learning for ultra‐low dose attenuation correction in PET

Medical Physics, Volume 53, Issue 9, September 2026.
Abstract Background Accurate attenuation correction (AC) is essential for quantitative positron emission tomography (PET). Conventional CT‐based AC provides reliable attenuation (μ‐) maps but adds radiation, introduces PET/CT misalignment artifacts, and is unavailable on stand‐alone PET systems.
Florence M. Muller, Margaret E. Daube‐Witherspoon, Michael J. Parma, Amy E. Perkins, Peter B. Noël, Christian Vanhove, Stefaan Vandenberghe, Joel S. Karp   +7 more
wiley   +1 more source

CycleGAN for day-to-night image translation: a comparative study [PDF]

Computer vision tasks often fail when applied to night images, because the models are usually trained using clear daytime images only. This creates the need to augment the data with more nighttime image for training to increase robustness. In this study,
Rahadianti, Laksmita, Raihan Taufiq, Muhammad Feriansyah   +1 more
core   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

Advanced Science, Volume 13, Issue 45, 13 August 2026.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang, Jingze Su, Xiahui Han, Deyong Kang, Xiao Zhang, Fei Xu, Changzu Liu, Junlin Pan, Xingfu Wang, Qiaohui Zhan, Aimin Wang, Feng Huang, Heping Cheng, Wenxi Liu, Ruolan Lin, Jianxin Chen   +15 more
wiley   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Advanced Science, Volume 13, Issue 46, 17 August 2026.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He, Wenyi Jing, Le Zhang, Qican Zhang, Tingdong Kou, Xin He, Yan Qiu, Yang Lu, Jian Cui, Yongfu Wen, Zhenrong Zheng, Hongying Zhang, Dayong Jin, Junfei Shen   +13 more
wiley   +1 more source

Adaptive Weighted Multi-Discriminator CycleGAN for Underwater Image Enhancement

, 2019
In this paper, we propose a novel underwater image enhancement method. Typical deep learning models for underwater image enhancement are trained by paired synthetic dataset. Therefore, these models are mostly effective for synthetic image enhancement but
David K. Han, Hanseok Ko, Jaihyun Park
core   +1 more source

CycleGan-based kV-to-MV image translation for potential in vivo dosimetry application: concept proposal and cross-institutional validation

BMC Medical Imaging
Background This work aims to develop and validate a novel CycleGan-based methodology to transfer the kV planning CT (pCT) to the reference MV portal images, potentially applicable to in vivo treatment dose monitoring.
Rui Qu, Zhexiang Song, Qijian Lu, Huimin Hu, Zhengkun Dong, Shutong Yu, Jiang Liu, Juan Deng, Guojian Mei, Chuou Yin, Qiao Li, Fei Xiang, Tian Li, Chen Lin, Junfeng Qi, Xiaoyun Le, Yibao Zhang   +16 more
doaj   +1 more source