Stewardship of global collective behavior
Collective behavior provides a framework for understanding how the actions and properties
of groups emerge from the way individuals generate and share information. In humans …
of groups emerge from the way individuals generate and share information. In humans …
A roadmap for multi-omics data integration using deep learning
High-throughput next-generation sequencing now makes it possible to generate a vast
amount of multi-omics data for various applications. These data have revolutionized …
amount of multi-omics data for various applications. These data have revolutionized …
3D deep learning on medical images: a review
The rapid advancements in machine learning, graphics processing technologies and the
availability of medical imaging data have led to a rapid increase in the use of deep learning …
availability of medical imaging data have led to a rapid increase in the use of deep learning …
Breast cancer detection using deep convolutional neural networks and support vector machines
It is important to detect breast cancer as early as possible. In this manuscript, a new
methodology for classifying breast cancer using deep learning and some segmentation …
methodology for classifying breast cancer using deep learning and some segmentation …
An overview of Human Action Recognition in sports based on Computer Vision
K Host, M Ivašić-Kos - Heliyon, 2022 - cell.com
Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …
A review on multiscale-deep-learning applications
In general, most of the existing convolutional neural network (CNN)-based deep-learning
models suffer from spatial-information loss and inadequate feature-representation issues …
models suffer from spatial-information loss and inadequate feature-representation issues …
A novel algorithm for mask detection and recognizing actions of human
Face recognition has become a significant challenge today since an increasing number of
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …
Predicting MCI to AD conversation using integrated sMRI and rs-fMRI: machine learning and graph theory approach
T Zhang, Q Liao, D Zhang, C Zhang, J Yan… - Frontiers in Aging …, 2021 - frontiersin.org
Background Graph theory and machine learning have been shown to be effective ways of
classifying different stages of Alzheimer's disease (AD). Most previous studies have only …
classifying different stages of Alzheimer's disease (AD). Most previous studies have only …
Fully automatic deep learning framework for pancreatic ductal adenocarcinoma detection on computed tomography
Simple Summary Early image-based diagnosis is crucial to improve outcomes in pancreatic
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …