[HTML][HTML] Deep Learning–Based Segmentation of Trypanosoma cruzi Nests in Histopathological Images

N Hevia-Montiel, P Haro, L Guillermo-Cordero… - Electronics, 2023 - mdpi.com
The use of artificial intelligence has shown good performance in the medical imaging area,
in particular the deep learning methods based on convolutional neural networks for …

[HTML][HTML] Trajectory-driven computational analysis for element characterization in Trypanosoma cruzi video microscopy

GL Martins, DS Ferreira, CM Carneiro… - Plos one, 2024 - journals.plos.org
Optical microscopy videos enable experts to analyze the motion of several biological
elements. Particularly in blood samples infected with Trypanosoma cruzi (T. cruzi) …

Trypanosoma cruzi detection using LSTM convolutional autoencoder

GL Martins, DS Ferreira, CM Carneiro… - Anais do XXIII Simpósio …, 2023 - sol.sbc.org.br
The presence of Trypanosoma cruzi (T. cruzi) parasites in blood samples is proof of the
medical diagnosis of Chagas disease. Since the motion of these microorganisms is …

[HTML][HTML] Collateral motion saliency-based model for Trypanosoma cruzi detection in dye-free blood microscopy

GL Martins, DS Ferreira, GLB Ramalho - Computers in Biology and …, 2021 - Elsevier
The motion performed by some protozoa is a crucial visual stimulus in microscopy analysis,
especially when they have almost imperceptible morphological characteristics …

Um novo espaço de similaridade projetado para o aprendizado supervisionado de métricas profundas

PHSS Barros - 2021 - repositorio.ufmg.br
No presente trabalho, propomos um novo método de aprendizagem métrica profunda que
diferentemente de muitos trabalhos nesta área, define um novo espaço latente obtido por …

Revisão sistemática dos métodos computacionais para avaliação e comparação de cores

PK Onishi, ME Kunkel, ER Zorzal - Revista Brasileira de Computação …, 2020 - seer.upf.br
Background, a avaliação de cores é usada na indústria para garantir que as cores de uma
imagem ou material sejam idênticas àquelas aprovadas durante o desenvolvimento e que a …

[HTML][HTML] Toward Automatic Cardiomyocyte Clustering and Counting through Hesitant Fuzzy Sets

J Wang, OT Tawose, L Jiang, D Zhao - Applied Sciences, 2019 - mdpi.com
Featured Application Automatic cell counting and clustering were performed on the blurred
images of cardiomyocytes with different shapes and sizes. Abstract The isolation and …