Luiz Carlos da Silva Garcia Junior
Biographic Data
| ID | 8569470 |
|---|---|
| NAME | Luiz Carlos da Silva Garcia Junior |
| GIVEN NAMES | Luiz Carlos da Silva |
| FAMILY NAME | Garcia Junior |
| SIGNATURE | JUNIOR L C S G |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Computer vision in industry
The growing demand for operational efficiency and quality control in Industry 4.0 has driven the adoption of intelligent computer vision systems. This study aims to develop and optimize advanced computer vision algorithms for the detection and classification of cosmetic defects, defined as visual imperfections that affect the aesthetic quality of products. The methodology combines convolutional neural networks, deep learning models, and advanced …
Application of deep neural networks in the early detection of cervical cancer in digitized cytopathological exams
This study evaluates the application of artificial intelligence (AI) in cervical cancer screening, based on the analysis of 2,383 digitized Pap smear images. These images, sourced from 80 clinical cases in municipalities of Amazonas, Brazil, were meticulously acquired using optical microscopes equipped with digital cameras, and subsequently validated for clarity and detail. Each image underwent a rigorous manual annotation process by researchers …
No prominent works on this page.
Computer vision in industry
The growing demand for operational efficiency and quality control in Industry 4.0 has driven the adoption of intelligent computer vision systems. This study aims to develop and optimize advanced computer vision algorithms for the detection and classification of cosmetic defects, defined as visual imperfections that affect the aesthetic quality of products. The methodology combines convolutional neural networks, deep learning models, and advanced …
Application of deep neural networks in the early detection of cervical cancer in digitized cytopathological exams
This study evaluates the application of artificial intelligence (AI) in cervical cancer screening, based on the analysis of 2,383 digitized Pap smear images. These images, sourced from 80 clinical cases in municipalities of Amazonas, Brazil, were meticulously acquired using optical microscopes equipped with digital cameras, and subsequently validated for clarity and detail. Each image underwent a rigorous manual annotation process by researchers …
Artificial Intelligence (2 works) · Computer Science (2 works) · 3D Surveying and Cultural Heritage (1 work) · AI in cancer detection (1 work) · Artificial neural network (1 work) · Cancer (1 work) · Cervical cancer (1 work) · Cervical Cancer and HPV Research (1 work) · Computer vision (1 work) · Digital Radiography and Breast Imaging (1 work)