An overview of deep learning in big data, image, and signal processing in the modern digital age

RP França, ACB Monteiro, R Arthur, Y Iano - Trends in deep learning …, 2021 - Elsevier
Nowadays, data is generated all the time on the internet. Faced with this scenario,
technologies have emerged to take advantage of this feature, so that in addition to just being …

Deep learning methodology proposal for the classification of erythrocytes and leukocytes

ACB Monteiro, Y Iano, RP França, R Arthur - Trends in deep learning …, 2021 - Elsevier
Improving diagnostics has been one of the most important challenges facing health systems
in recent years, due to innovation and scientific research, image classification techniques …

A comparative study between methodologies based on the Hough transform and watershed transform on the blood cell count

ACB Monteiro, Y Iano, RP França, R Arthur… - Brazilian technology …, 2018 - Springer
It is increasingly common to use engineering techniques in the areas of health, in order to
solve simple problems or even create new diagnostic methods. In the last decade, the …

Metaheuristics applied to blood image analysis

ACB Monteiro, RP França, VV Estrela… - … and Optimization in …, 2020 - Springer
The growing use of digital image processing techniques focused on health is explicit,
helping in the solution and improvements in diagnosis, as well as the possibility of creating …

A metaheuristic algorithm for classification of white blood cells in healthcare informatics

ACB Monteiro, Y Iano, RP França, R Arthur - Metaheuristics in machine …, 2021 - Springer
Diagnostic imaging is in itself an important technological evolution, which represented an
advance in the way diseases are diagnosed, originating from the digital age in diagnostic …

The evolution of robotic systems: Overview and its application in modern times

RP França, ACB Monteiro, R Arthu… - Safety, security, and …, 2020 - taylorfrancis.com
From the beginning of the modern age, society has imagined a future supported by
technology, where man and machine live and share functions both at home and at work. In …

[图书][B] Deep Learning for Personalized Healthcare Services

V Jain, JM Chatterjee, H Hedayati, S Krit, O Deperlioglu - 2021 - degruyter.com
The present generation and scenario are a time for big leaps and bounds in terms of growth
and advancement of the health information industry. This book is an attempt to unveil the …

A cognitive approach to digital health based on deep learning focused on classification and recognition of white blood cells

ACB Monteiro, RP França, R Arthur, Y Iano - Cognitive Systems and Signal …, 2022 - Elsevier
Cognitive computing is derived from self-learning systems employing techniques to
accomplish particular human tasks intelligently, consisting of technologies that work in a …

Proposal of a Metaheuristic Algorithm of Cognitive Computing for Classification of Erythrocytes and Leukocytes in Healthcare Informatics

ACB Monteiro, RP França, R Arthur… - … Intelligence and Big …, 2022 - Wiley Online Library
Through the use of AI in diagnostic medicine provides accurate and safe diagnoses in the
evaluation of exams. Image recognition is not an easy task, as this can be achieved with the …

Hematology: A review of the main methodologies of clinical analyses

AC Borges Monteiro, Y Iano, RP França… - Proceedings of the 5th …, 2020 - Springer
Human blood is composed of liquid and solid elements, blood cells being extremely
important for the assessment of the patient's health status. Blood consists of plasma and …