AIMC Topic: Workflow

Clear Filters Showing 161 to 170 of 576 articles

Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping.

Scientific reports Dec 10, 2022
Rapid detection and mapping of landforms are crucially important to improve our understanding of past and presently active processes across the earth, especially, in complex and dynamic volcanoes. Traditional landform modeling approaches are labor-in...
Workflow Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

Prospective risk analysis of the online-adaptive artificial intelligence-driven workflow using the Ethos treatment system.

Zeitschrift fur medizinische Physik Dec 9, 2022
PURPOSE: The recently introduced Varian Ethos system allows adjusting radiotherapy treatment plans to anatomical changes on a daily basis. The system uses artificial intelligence to speed up the process of creating adapted plans, comes with its own s...
Artificial Intelligence Software Humans Radiotherapy Planning, Computer-Assisted Risk Assessment Workflow Prospective Studies
View on PubMed DOI

BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets.

Journal of molecular biology Dec 1, 2022
Micrograph comparison remains useful in bioscience. This technology provides researchers with a quick snapshot of experimental conditions. But sometimes a two- condition comparison relies on researchers' eyes to draw conclusions. Our Bioimage Analysi...
Software Biofilms Machine Learning Datasets as Topic Biological Science Disciplines Image Processing, Computer-Assisted Workflow
View on PubMed DOI

microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation.

PloS one Nov 29, 2022
In biotechnology, cell growth is one of the most important properties for the characterization and optimization of microbial cultures. Novel live-cell imaging methods are leading to an ever better understanding of cell cultures and their development....
Data Management Data Analysis Workflow Deep Learning Software
View on PubMed DOI

Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach.

STAR protocols Nov 24, 2022
Here we present EdgeSHAPer, a workflow for explaining graph neural networks by approximating Shapley values using Monte Carlo sampling. In this protocol, we describe steps to execute Python scripts for a chemical dataset from the original publication...
Workflow Neural Networks, Computer
View on PubMed DOI

[Automation and the use of robots in the pathology laboratory : A journey through time and a consideration of efficiency].

Pathologie (Heidelberg, Germany) Nov 23, 2022
In the past 20 years, numerous technical innovations were introduced to the histopathology laboratory, providing tools for improved standardization and occupational safety. Digital tracking serves as a backbone accompanying the workflow from the labe...
Workflow Laboratories Humans Automation Robotics Efficiency
View on PubMed DOI

Artificial intelligence workflow quantifying muscle features on Hematoxylin-Eosin stained sections reveals dystrophic phenotype amelioration upon treatment.

Scientific reports Nov 19, 2022
Cell segmentation is a key step for a wide variety of biological investigations, especially in the context of muscle science. Currently, automated methods still struggle to perform skeletal muscle fiber quantification on Hematoxylin-Eosin (HE) staine...
Phenotype Retrospective Studies Animals Workflow Artificial Intelligence Eosine Yellowish-(YS) Hematoxylin Muscle Fibers, Skeletal
View on PubMed DOI

Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records.

Scientific reports Nov 12, 2022
Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of clinical data from multiple sources. This study analyzed the utility of ontologies beyond their traditional roles, that is, in addressing a challengi...
Workflow Medical Records Seizures Humans Machine Learning Retrospective Studies Epilepsy
View on PubMed DOI

Advanced Control Systems in Industry 5.0 Enabling Process Mining.

Sensors (Basel, Switzerland) Nov 10, 2022
This paper merges new research topics in Industry 5.0 using the Business Process Modeling and Notation (BPMN) approach able to integrate Artificial Intelligence (AI) in production processes. The goal is to provide an innovative approach to model prod...
Industry Artificial Intelligence Workflow
View on PubMed DOI

A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram.

Nature communications Nov 9, 2022
This study compares a deep learning interpretation of 23 echocardiographic parameters-including cardiac volumes, ejection fraction, and Doppler measurements-with three repeated measurements by core lab sonographers. The primary outcome metric, the in...
Echocardiography Deep Learning Ventricular Function, Left Workflow Humans Female Reproducibility of Results Male
View on PubMed DOI
Popular Topics
Recent Journals