Results 61 to 70 of about 3,010,100 (313)

Medical Video Super-Resolution Based on Asymmetric Back-Projection Network With Multilevel Error Feedback

IEEE Access, 2021
Medical video is important for medical diagnosis. However, due to the influence of the network bandwidth and hardware equipment, some medical videos have low resolution, which is not conducive for diagnosing early diseases with small lesions.
Sheng Ren, Jianqi Li, Kehua Guo, Fangfang Li   +3 more
doaj   +1 more source

Structured illumination lensless digital holographic microscopy (SI-LDHM)

Frontiers in Physics
In this work, we propose a structured-illumination lensless digital holographic microscopy (SI-LDHM). SI-LDHM illuminates a sample with 24 structured illuminations (8 orientations × 3 phase shifts) and records the defocused interferogram formed by two ...
Juanjuan Zheng, Juanjuan Zheng, Juanjuan Zheng, Xuhong Guo, Xuhong Guo, Xuhong Guo, Ying Ma, Ying Ma, Ying Ma, Kai Wen, Kai Wen, Kai Wen, Sha An, Sha An, Sha An, Xiaofang Wang, Xiaofang Wang, Xiaofang Wang, Peng Gao, Peng Gao, Peng Gao, Jiaming Qian, Chao Zuo, Peng Gao   +23 more
doaj   +1 more source

Deeply-Recursive Convolutional Network for Image Super-Resolution [PDF]

Computer Vision and Pattern Recognition, 2015
We propose an image super-resolution method (SR) using a deeply-recursive convolutional network (DRCN). Our network has a very deep recursive layer (up to 16 recursions).
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
semanticscholar   +1 more source

Super-resolution MIMO radar [PDF]

2016 IEEE International Symposium on Information Theory (ISIT), 2016
A multiple input, multiple output (MIMO) radar emits probings signals with multiple transmit antennas and records the reflections from targets with multiple receive antennas. Estimating the relative angles, delays, and Doppler shifts from the received signals allows to determine the locations and velocities of the targets.
openaire   +2 more sources

Deep Neural Network for Image Super Resolution Driven by Prior Denoising

Nantong Daxue xuebao. Ziran kexue ban, 2021
In order to improve image super resolution, a double layer convolution neural network in image denoising is embedded in image restoration tasks. The image super resolution method driven by prior denoising with deep neural network is proposed.
CHENG Fanqiang;ZHU Yonggui;, ZHU Yonggui
doaj   +1 more source

Genomic Diversity and Clinical Variability in Pediatric Primary Cutaneous Anaplastic Large Cell Lymphoma: A Case Series

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger, Efrat Bar‐Ilan, Victoria Marcu, Evgeny Grishin, Rinat Yacobi, Aviv Barzilai, Hana Golan, Assaf Arie Barg   +7 more
wiley   +1 more source

Remodeling of the secretory pathway is coordinated with de novo membrane formation in budding yeast gametogenesis

iScience
Summary: Gametogenesis in budding yeast involves a large-scale rearrangement of membrane traffic to allow the de novo formation of a membrane, called the prospore membrane (PSM). However, the mechanism underlying this event is not fully elucidated. Here,
Yasuyuki Suda, Hiroyuki Tachikawa, Tomomi Suda, Kazuo Kurokawa, Akihiko Nakano, Kenji Irie   +5 more
doaj   +1 more source

4× Super‐resolution of unsupervised CT images based on GAN

IET Image Processing, 2023
Improving the resolution of computed tomography (CT) medical images can help doctors more accurately identify lesions, which is important in clinical diagnosis.
Yunhe Li, Lunqiang Chen, Bo Li, Huiyan Zhao   +3 more
doaj   +1 more source

Terrain Self-Similarity-Based Transformer for Generating Super Resolution DEMs

Remote Sensing, 2023
High-resolution digital elevation models (DEMs) are important for relevant geoscience research and practical applications. Compared with traditional hardware-based methods, super-resolution (SR) reconstruction techniques are currently low-cost and ...
Xin Zheng, Zelun Bao, Qian Yin
doaj   +1 more source

Super-Resolution-Based Inpainting [PDF]

, 2012
This paper introduces a new examplar-based inpainting framework. A coarse version of the input image is first inpainted by a non-parametric patch sampling. Compared to existing approaches, some improvements have been done (e.g. filling order computation, combination of K nearest neighbours).
Le Meur, Olivier, Guillemot, Christine
openaire   +2 more sources