Luana Batista da Cruz

Orcid: 0000-0002-9150-2553

Affiliations:
  • Federal University of Maranhão, Brazil


According to our database1, Luana Batista da Cruz authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches.
Expert Syst. Appl., April, 2023

2022
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model.
Expert Syst. Appl., 2022

Liver segmentation from computed tomography images using cascade deep learning.
Comput. Biol. Medicine, 2022

2021
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools Appl., 2021

Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.
Expert Syst. Appl., 2021

An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks.
Expert Syst. Appl., 2021

Surgical planning of horizontal strabismus using multiple output regression tree.
Comput. Biol. Medicine, 2021

2020
Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function.
IEEE J. Biomed. Health Informatics, 2020

Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis.
Comput. Methods Programs Biomed., 2020

Kidney segmentation from computed tomography images using deep neural network.
Comput. Biol. Medicine, 2020

2018
Tear Film Classification Using Phylogenetic Diversity Indexes as Texture Descriptor.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018


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