Results 61 to 70 of about 10,630,553 (293)

Super-resolution (SR) Fluorescence Microscopy dataset

, 2021
We created a small dataset - the diffraction limited to super-resolution (DL2SR) dataset - that is dedicated to estimate the super-resolution intensity from a diffracton limited fluorescence microscopy intensity images.
Varun Mannam (17332372)
core   +1 more source

Deep Learning-Based Plant-Image Classification Using a Small Training Dataset

Mathematics, 2022
Extensive research has been conducted on image augmentation, segmentation, detection, and classification based on plant images. Specifically, previous studies on plant image classification have used various plant datasets (fruits, vegetables, flowers ...
Ganbayar Batchuluun, Se Hyun Nam, Kang Ryoung Park   +2 more
doaj   +1 more source

Dataset of perspectives of the world economy’s development after the COVID-19 crisis

, 2020
The article reflects the possibilities of a dataset of the prospects for the development of the world economy after the COVID-19 crisis. The dataset has combined statistics on digital competitiveness, sustainable development and COVID-19 incidence for 63
Popkova, E (via Mendeley Data), Dataset, Dataset   +1 more
core   +1 more source

BCG dataset

, 2023
BCG dataset: The bed based ballistocardiography dataset collected and shared by Carlson et al. [3]. Both ABP and PPG signals were recorded from 40 subjects, with one record per subject. The original sampling rate of the signals is 1000 Hz.
Wan-Ting Hsieh (183986), Sergio González Vázquez (13255131), Trista Chen (13255134)   +2 more
core   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

MCE-HGCN: Heterogeneous Graph Convolution Network for Analog IC Matching Constraints Extraction

Micromachines
Matching constraints in an analog integrated circuit (IC) are critical to optimizing layout performance. To extract these matching constraints accurately and efficiently from the netlist, we propose the heterogeneous matching constraint extraction graph ...
Yong Zhang, Yong Yin, Ning Xu, Bowen Jia
doaj   +1 more source

Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets

IEEE Access, 2017
Human action recognition nowadays plays a key role in varieties of computer vision applications. Many computer vision methods focus on algorithms designing classifiers with handcrafted features which are complex and inflexible. In this paper, we focus on
Tian Wang, Yang Chen, Mengyi Zhang, Jie Chen, Hichem Snoussi   +4 more
doaj   +1 more source

Automated analysis of small RNA datasets with RAPID

PeerJ, 2018
Understanding the role of short-interfering RNA (siRNA) in diverse biological processes is of current interest and often approached through small RNA sequencing. However, analysis of these datasets is difficult due to the complexity of biological RNA processing pathways, which differ between species.
Karunanithi, Sivarajan, Simon, Martin, Schulz, Marcel H.   +2 more
openaire   +6 more sources

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source