A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches

P Ma, C Li, MM Rahaman, Y Yao, J Zhang… - Artificial Intelligence …, 2023 - Springer
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great
significance to human beings. However, the traditional manual microscopic detection …

A state-of-the-art survey for microorganism image segmentation methods and future potential

F Kulwa, C Li, X Zhao, B Cai, N Xu, S Qi, S Chen… - Ieee …, 2019 - ieeexplore.ieee.org
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …

Leishmaniasis parasite segmentation and classification using deep learning

M Górriz, A Aparicio, B Raventós, V Vilaplana… - Articulated Motion and …, 2018 - Springer
Leishmaniasis is considered a neglected disease that causes thousands of deaths annually
in some tropical and subtropical countries. There are various techniques to diagnose …

[HTML][HTML] Detection and counting of Leishmania intracellular parasites in microscopy images

LMC Portuondo-Mallet, N Mollineda-Diogo… - Frontiers in Medical …, 2024 - frontiersin.org
Problem Leishmaniasis is a disease caused by protozoan parasites of the genus
Leishmania and has a high prevalence and impact on global health. Currently, the available …

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 …

[PDF][PDF] Microscopic image segmentation to quantification of Leishmania infection in macrophages

G Coelho, AR Galvão Filho… - Fronteiras: Journal of …, 2020 - academia.edu
The determination of infection rate parameter from in vitro macrophages infected by
Leishmania amastigotes is fundamental in the study of vaccine candidates and new drugs …

A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis

A Isaza-Jaimes, V Bermúdez, A Bravo… - … de Farmacología y …, 2020 - saber.ucv.ve
This article reports a three-stage computational approach for the automatic detection of
Leishmania protozoan in light microphotograph from bone marrow samples extracted from …

Semi-automatic detection of the evolutionary forms of visceral leishmaniasis in microscopic blood smears

J Salazar, M Vera, Y Huérfano, MI Vera… - Journal of Physics …, 2019 - iopscience.iop.org
Leishmaniasis is a complex group of diseases caused by obligate unicellular and
intracellular eukaryotic protozoa of the leishmania genus. Leishmania species generate …

Evaluation of deep metric learning methods for the diagnosis of human visceral leishmaniasis

YRR Silva - 2023 - repositorio.ufal.br
Visceral Leishmaniasis, a severe type caused by the Leishmania donovani parasite
complex, is fatal in over 95% of untreated cases and predominantly affects the poor and …

Auto-Segmentation of lung in CT image series based on level set method with prior knowledge

R Liang, XJ Chen, JX Zhang - 2017 3rd IEEE International …, 2017 - ieeexplore.ieee.org
With development of medical image processing, more and more cancers are diagnosed and
treated with assistance of computer, especially lung cancer. Extracting lung from CT image …