Results 81 to 90 of about 157,621 (267)

Capsule GAN Using Capsule Network for Generator Architecture

CoRR, 2020
This paper presents Capsule GAN, a Generative adversarial network using Capsule Network not only in the discriminator but also in the generator. Recently, Generative adversarial networks (GANs) has been intensively studied. However, generating images by GANs is difficult. Therefore, GANs sometimes generate poor quality images.
Kanako Marusaki, Hiroshi Watanabe
openaire   +2 more sources

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment

BMC Complementary Medicine and Therapies, 2020
Background Yiganling (YGL) capsule is a traditional Chinese medicine preparation consisting of eight herbs that has been clinically proven to have a favorable treatment effect on Hepatitis B (HB).
Chao Lu, Wanjin Fu, Renpeng Zhou, Wei Hu
doaj   +1 more source

Instrument reading recognition by deep learning of capsules network model for digitalization in Industrial Internet of Things

Engineering Reports, 2022
Using the intelligent image recognition method to recognize the reading of the unintelligent manual reading meter is an important approach to expand the sensing means and reduce the cost of transformation of the Industrial Internet of Things. Traditional
Dazhou Li, Jingfei Hou, Wei Gao
doaj   +1 more source

DeepCaps: Going Deeper With Capsule Networks [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par performance on several key benchmark datasets with complex data. Drawing intuition from the success achieved by Convolutional Neural Networks (CNNs) by going deeper, we introduce DeepCaps1, a deep capsule network ...
Jathushan Rajasegaran, Vinoj Jayasundara 0001, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo   +5 more
openaire   +2 more sources

A High‐Sensitivity Circulating Nucleic Acid Sequencing Assay for Assessing Treatment Response to Alectinib in a Pediatric Patient With ALK‐Rearranged Non–Small Cell Lung Cancer

Pediatric Blood &Cancer, EarlyView.
Alberto D. Guerra, Nicholas F. Evageliou, Vandana Batra, Kristen L. Dalton, Stephanie Ortel, Usman Ashraf, Tricia R. Bhatti, Lisa J. States, Lea F. Surrey, Theodore W. Laetsch   +9 more
wiley   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

UKC ANSAware Survival Guide (for Modula-3) [PDF]

, 1997
The ANSAware platform is a suite of libraries and tools which facilitate the building of distributed applications. The documentation with the release forms little more that a reference manual to the language and does not aid the first time user.
Buckner, Ian
core   +2 more sources

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification

Biomimetics
Transfer learning is the act of using the data or knowledge in a problem to help solve different but related problems. In a brain computer interface (BCI), it is important to deal with individual differences between topics and/or tasks. A kind of capsule
Wei Zhang, Xianlun Tang, Xiaoyuan Dang, Mengzhou Wang   +3 more
doaj   +1 more source