Detection of human visceral leishmaniasis parasites in microscopy images from bone marrow parasitological examination

C Gonçalves, A Borges, V Dias, J Marques, B Aguiar… - Applied Sciences, 2023 - mdpi.com
Visceral Leishmaniasis (VL) is a neglected disease that affects between 50,000 and 90,000
new cases annually worldwide. In Brazil, VL causes about 3500 cases/per year. This chronic …

Computer Vision in Automatic Visceral Leishmaniasis Diagnosis: a Survey

C Gonçalves, A Borges, A Rodrigues… - Ieee Latin America …, 2023 - ieeexplore.ieee.org
Visceral Leishmaniasis (VL) is a neglected disease that affects 1 billion people in tropical
and subtropical countries. In Brazil, VL causes about 3,500 cases/year. Although this …

A multi-layered segmentation method for nucleus detection in highly clustered microscopy imaging: a practical application and validation using human U2OS …

PA Nogueira, LF Teófilo - Artificial Intelligence Review, 2014 - Springer
Fluorescent microscopy imaging is a popular and well-established method for biomedical
research. However, the large number of images created in each research trial quickly …

Metacarpal bones localization in x-ray imagery using particle filter segmentation

Z Bardosi, D Granata, G Lugos, AP Tafti… - arXiv preprint arXiv …, 2014 - arxiv.org
Statistical methods such as sequential Monte Carlo Methods were proposed for detection,
segmentation and tracking of objects in digital images. A similar approach, called Shape …

[PDF][PDF] Human cell detection in microscopic images through discrete cosine transform and Gaussian mixture model

F Rohani, H Hassannia, MA MoghaddasiFar… - Computational Biology …, 2014 - academia.edu
Automatic detection of human cell is still one of the most common investigation methods that
may be used as part of a computer aided medical decision making system [1]. In this paper a …

Comparative Study of Segmentation Techniques in Fluorescence Microscope Images with Leishmania Infections

JFFP Ribeiro - 2015 - search.proquest.com
The analysis of microscopy images is a very important task in biomedical research as it
allows the quantification of a multitude of parameters at the cellular level. Currently it is done …