Results 91 to 100 of about 559,979 (314)

LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring Its Applications

The Astrophysical Journal Supplement Series
We investigate the prospect of reconstructing the “cosmic distance ladder” of the Universe using a novel deep learning framework called LADDER —Learning Algorithm for Deep Distance Estimation and Reconstruction.
Rahul Shah, Soumadeep Saha, Purba Mukherjee, Utpal Garain, Supratik Pal   +4 more
doaj   +1 more source

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection

npj Digital Medicine, 2020
By 2040, ~100 million people will have glaucoma. To date, there are a lack of high-efficiency glaucoma diagnostic tools based on visual fields (VFs).
Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting   +39 more
doaj   +1 more source

Mars Rover imaging systems and directional filtering [PDF]

Computer literature searches were carried out at Duke University and NASA Langley Research Center. The purpose is to enhance personal knowledge based on the technical problems of pattern recognition and image understanding which must be solved for the ...
Wang, Paul P.
core   +1 more source

Deep Image Matting

, 2017
Image matting is a fundamental computer vision problem and has many applications. Previous algorithms have poor performance when an image has similar foreground and background colors or complicated textures. The main reasons are prior methods 1) only use
Cohen, Scott, Huang, Thomas, Price, Brian, Xu, Ning   +3 more
core   +1 more source

FeDSNP‐Pa Nanoassemblies: A Triple‐Action Therapeutic Strategy Targeting Oxidative Stress, Inflammation, and Pyroptosis for Retinal Ganglion Cell Protection in Glaucoma

Advanced Functional Materials, EarlyView.
FeDSNP‐Pa, a metallized nanoparticle loaded with sodium pyruvate (Pa), exerts triple therapeutic effects by scavenging reactive oxygen species (ROS), suppressing inflammatory responses, and inhibiting pyroptosis signaling pathways. This multifunctional neuroprotective strategy protecting retinal ganglion cells (RGCs) from elevated intraocular pressure ...
Yukun Wu, Xue Li, Tong Wu, Dan Ji, Yugang Bai, Xuezhi Zhou   +5 more
wiley   +1 more source

Loss Functions for Top-k Error: Analysis and Insights

, 2016
In order to push the performance on realistic computer vision tasks, the number of classes in modern benchmark datasets has significantly increased in recent years.
Hein, Matthias, Lapin, Maksim, Schiele, Bernt   +2 more
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri [PDF]

Journal of Data Mining and Digital Humanities
Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. Two issues which complicate the problem on such datasets are class imbalance and ground-truth uncertainty in labeling. The AL-ALL and
Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin   +6 more
doaj   +1 more source

Efficient SDP Inference for Fully-connected CRFs Based on Low-rank Decomposition

, 2015
Conditional Random Fields (CRF) have been widely used in a variety of computer vision tasks. Conventional CRFs typically define edges on neighboring image pixels, resulting in a sparse graph such that efficient inference can be performed.
Hengel, Anton van den, Shen, Chunhua, Wang, Peng   +2 more
core   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

Advanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source