Combining simulation models and machine learning in healthcare management: strategies and applications

AM Ponsiglione, P Zaffino, C Ricciardi… - Progress in …, 2024 - iopscience.iop.org
Simulation models and artificial intelligence (AI) are largely used to address healthcare and
biomedical engineering problems. Both approaches showed promising results in the …

[HTML][HTML] A novel data augmentation approach for mask detection using deep transfer learning

MR Prusty, V Tripathi, A Dubey - Intelligence-Based Medicine, 2021 - Elsevier
At the onset of 2020, the world saw the rise and spread of a global pandemic named COVID-
19 which caused numerous deaths and affected millions of people around the world. Due to …

Toward the bleaching of the black boxes: minimalist machine learning

C Yáñez-Márquez - IT Professional, 2020 - ieeexplore.ieee.org
In the field of machine learning, there exist effective models that achieve remarkable results.
However, it is criticized from the perspective of the end user that many successful models …

White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment

T Li, S Fong, SWI Siu, X Yang, LS Liu… - Computer Methods and …, 2020 - Elsevier
Abstract Background and Objective Bayesian network is a probabilistic model of which the
prediction accuracy may not be one of the highest in the machine learning family. Deep …

Spotlight on AI!—why everyone should pay attention now!

GR Djavanshir, MR Lee, JKS Liew - IT Professional, 2020 - ieeexplore.ieee.org
The articles in this special section focus on the significance and growth for artificial
intelligence and its applications. AI has become one of the most transformative technologies …

Hybridized white learning in cloud-based picture archiving and communication system for predictability and interpretability

AJ Tallón-Ballesteros, S Fong, T Li, L Liu… - … Conference on Hybrid …, 2020 - Springer
A picture archiving and communication system (PACS) was originally designed for replacing
physical films by digitizing medical images for storage and access convenience. With the …

[HTML][HTML] ИССЛЕДОВАНИЕ МОДЕЛЕЙ СВЕРТОЧНЫХ НЕЙРОННЫХ СЕТЕЙ YOLOV3 И RETINANET ДЛЯ ЗАДАЧИ ДЕТЕКТИРОВАНИЯ ЛИЦА ЧЕЛОВЕКА НА …

ЕИ Болховитина - StudNet, 2022 - cyberleninka.ru
В статье представлено исследование двух популярных моделей детектирования
объектов на изображении на основе сверточных нейронных сетей для реализации …