Adriell Gomes Marques

Orcid: 0000-0001-6274-1961

According to our database1, Adriell Gomes Marques authored at least 9 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning.
Proceedings of the International Joint Conference on Neural Networks, 2023

New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
New fully automatic approach for tissue identification in histopathological examinations using transfer learning.
IET Image Process., 2022

New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Fully Automatic LPR Method Using Haar Cascade for Real Mercosur License Plates.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images.
Appl. Soft Comput., 2021

2020
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation.
Sensors, 2020

Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans.
IEEE Access, 2020


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