A review of watershed implementations for segmentation of volumetric images

A Kornilov, I Safonov, I Yakimchuk - Journal of Imaging, 2022 - mdpi.com
Watershed is a widely used image segmentation algorithm. Most researchers understand
just an idea of this method: a grayscale image is considered as topographic relief, which is …

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 …

Albrt: Cellular composition prediction in routine histology images

M Dawood, K Branson, NM Rajpoot… - Proceedings of the …, 2021 - openaccess.thecvf.com
Cellular composition prediction, ie, predicting the presence and counts of different types of
cells in the tumor microenvironment from a digitized image of a Hematoxylin and Eosin …

[HTML][HTML] Graph based method for cell segmentation and detection in live-cell fluorescence microscope imaging

K Hajdowska, S Student, D Borys - Biomedical Signal Processing and …, 2022 - Elsevier
Live-cell fluorescence image segmentation is an essential step in many studies, including in
drug research and other contexts where keeping cells alive is crucial. Several segmentation …

Automatic classification of white blood cells using deep features based convolutional neural network

A Meenakshi, JA Ruth, VR Kanagavalli… - Multimedia Tools and …, 2022 - Springer
White blood cells (WBCs) are widely presented in human body which plays an important
role in the human body immune system. Recently, the incidence of blood diseases related to …

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 …

Deep features based convolutional neural network to detect and automatic classification of white blood cells

D Yentrapragada - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
White blood cells (WBCs) play an important role in the human body's immune system and it
widely presented in the human body. Recently, the incidence of blood diseases related to …

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 …

An introduction to blockchain technology and their applications in the actuality with a view of its security aspects

RP França, ACB Monteiro, R Arthur, Y Iano - … Solutions Using Blockchain, 2021 - Springer
Blockchain, in this innovative context of digital transformation, is nothing more than a chain
of digital blocks, in which each block has a specific data and a code that connects to the …