Results 31 to 40 of about 16,712,425 (389)

Fluoroless intravascular ultrasound image-guided liver navigation in porcine models

BMC Gastroenterology, 2021
Background An intravascular ultrasound catheter (IVUSc) was developed for intracardiac ultrasound to assess interventions with compelling results.
Takeshi Urade, Juan Manuel Verde, Alain García Vázquez, Konstanze Gunzert, Patrick Pessaux, Jacques Marescaux, Mariano Eduardo Giménez   +6 more
doaj   +1 more source

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising [PDF]

IEEE Transactions on Image Processing, 2016
The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.
K. Zhang, W. Zuo, Yunjin Chen, Deyu Meng, Lei Zhang   +4 more
semanticscholar   +1 more source

EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks

Frontiers in Medicine, 2023
Background and purposeColorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide.
Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +18 more
doaj   +1 more source

Analysis of carotid vulnerable plaque MRI high-risk features and clinical risk factors associated with concomitant acute cerebral infarction

BMC Cardiovascular Disorders, 2023
Background This study aimed to investigate the correlation between the high-risk characteristics of high-resolution MRI carotid vulnerable plaques and the clinical risk factors and concomitant acute cerebral infarction (ACI).
Yongxiang Tang, Jinping Zhang, Weizhou Liu, Wei Jin, Shijian Li, Zhen Qian, Xiaoquan Kong, Ran Zhang, Juanjuan HU, Baolin LI, Weiming Yuan, Yifan Zhang   +11 more
doaj   +1 more source

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations [PDF]

International Journal of Computer Vision, 2016
Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering.
Ranjay Krishna, Yuke Zhu, O. Groth, Justin Johnson, K. Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei   +11 more
semanticscholar   +1 more source

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation [PDF]

International Conference on 3D Vision, 2016
Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches are only able to process 2D images while most medical data used ...
F. Milletarì, N. Navab, Seyed-Ahmad Ahmadi   +2 more
semanticscholar   +1 more source

ImageJ2: ImageJ for the next generation of scientific image data [PDF]

BMC Bioinformatics, 2017
ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and
C. Rueden, J. Schindelin, M. Hiner, Barry E. Dezonia, Alison E. Walter, Ellen T. Arena, K. Eliceiri   +6 more
semanticscholar   +1 more source

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network [PDF]

Computer Vision and Pattern Recognition, 2016
Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution. In these methods, the low resolution (LR) input image is upscaled
Wenzhe Shi, Jose Caballero, Ferenc Huszár, J. Totz, Andrew P. Aitken, Rob Bishop, D. Rueckert, Zehan Wang   +7 more
semanticscholar   +1 more source

A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification

IEEE Access, 2019
Person re-identification has gradually become a popular research topic in many fields such as security, criminal investigation, and video analysis. This paper aims to learn a discriminative and robust spatial–temporal representation for video ...
Wanru Song, Jieying Zheng, Yahong Wu, Changhong Chen, Feng Liu   +4 more
doaj   +1 more source

Video Object Detection Guided by Object Blur Evaluation

IEEE Access, 2020
In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu, Hong Zhang, Yawei Li, Yifan Yang, Ding Yuan   +4 more
doaj   +1 more source