AIMC Topic: Workflow

Clear Filters Showing 311 to 320 of 576 articles

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.

International journal of computer assisted radiology and surgery Jul 20, 2020
PURPOSE: This paper addresses the detection of the clinical target volume (CTV) in transrectal ultrasound (TRUS) image-guided intraoperative for permanent prostate brachytherapy. Developing a robust and automatic method to detect the CTV on intraoper...
Humans Algorithms Reproducibility of Results Male Artifacts Brachytherapy Models, Statistical Prostatic Neoplasms Prostate Workflow Diagnosis, Computer-Assisted Deep Learning Ultrasonography
View on PubMed DOI

Radiomics in radiation oncology-basics, methods, and limitations.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Jul 9, 2020
Over the past years, the quantity and complexity of imaging data available for the clinical management of patients with solid tumors has increased substantially. Without the support of methods from the field of artificial intelligence (AI) and machin...
Radiation Oncology Workflow Radiotherapy Planning, Computer-Assisted Datasets as Topic Imaging, Three-Dimensional Image Processing, Computer-Assisted Computational Biology Neuroimaging Humans Brain Neoplasms Deep Learning Artificial Intelligence Reproducibility of Results
View on PubMed DOI

A machine learning workflow for raw food spectroscopic classification in a future industry.

Scientific reports Jul 8, 2020
Over the years, technology has changed the way we produce and have access to our food through the development of applications, robotics, data analysis, and processing techniques. The implementation of these approaches by the food industry ensure qual...
Digital Technology Spectrum Analysis Food Industry Raw Foods Machine Learning Workflow
View on PubMed DOI

The Age of Data-Driven Proteomics: How Machine Learning Enables Novel Workflows.

Proteomics Jun 25, 2020
A lot of energy in the field of proteomics is dedicated to the application of challenging experimental workflows, which include metaproteomics, proteogenomics, data independent acquisition (DIA), non-specific proteolysis, immunopeptidomics, and open ...
Machine Learning Proteomics Mass Spectrometry Chromatography, Liquid Workflow
View on PubMed DOI

Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Acta oncologica (Stockholm, Sweden) Jun 22, 2020
Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment wait time. We developed and evaluated the use of a fused model Dense V-Network for its abil...
Femur Urinary Bladder Organs at Risk Spinal Cord Time-to-Treatment Female Uterine Cervical Neoplasms Deep Learning Rectum Workflow Intestines Pelvis Humans Neural Networks, Computer Algorithms
View on PubMed DOI

The future of pathology is digital.

Pathology, research and practice Jun 20, 2020
Information, archives, and intelligent artificial systems are part of everyday life in modern medicine. They already support medical staff by mapping their workflows with shared availability of cases' referral information, as needed for example, by t...
Artificial Intelligence Image Processing, Computer-Assisted Humans Pathology Workflow Pathologists Image Interpretation, Computer-Assisted
View on PubMed DOI

Radiomics in neuro-oncology: Basics, workflow, and applications.

Methods (San Diego, Calif.) Jun 6, 2020
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in patients with brain tumors for routine clinical purposes and the resulting number of imaging parameters have substantially increased. Consequently, a timely and...
Neuroimaging Neurology Workflow Models, Biological Medical Oncology Prognosis Biomarkers, Tumor Brain Neoplasms Image Processing, Computer-Assisted Treatment Outcome Risk Assessment Deep Learning Humans Brain
View on PubMed DOI

Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Pharmacological research May 25, 2020
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system...
Tandem Mass Spectrometry Data Mining Spectrometry, Mass, Electrospray Ionization Animals, Genetically Modified Workflow Zebrafish Chromatography, High Pressure Liquid Gene Regulatory Networks Systems Biology Rats, Wistar Disease Models, Animal Drugs, Chinese Herbal Hypoglycemic Agents Diabetes Mellitus Male Blood Glucose Protein Interaction Maps Artificial Intelligence Biomarkers Animals
View on PubMed DOI

Dose image prediction for range and width verifications from carbon ion-induced secondary electron bremsstrahlung x-rays using deep learning workflow.

Medical physics May 25, 2020
PURPOSE: Imaging of the secondary electron bremsstrahlung (SEB) x rays emitted during particle-ion irradiation is a promising method for beam range estimation. However, the SEB x-ray images are not directly correlated to the dose images. In addition,...
Carbon Workflow Electrons X-Rays Deep Learning
View on PubMed DOI

Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research.

International journal of surgery (London, England) May 12, 2020
BACKGROUND: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates the automation of several currently time-consuming manual processes, including video analysis, indexing, and video-based skill assessment. This study ...
Laparoscopy Rectum Workflow Middle Aged Colon Clinical Competence Aged Aged, 80 and over Adult Male Humans Neural Networks, Computer Female
View on PubMed DOI
Popular Topics
Recent Journals