| Full text | |
| Author(s): |
Souza, Luis A.
;
Passos, Leandro A.
;
Mendel, Robert
;
Ebigbo, Alanna
;
Probst, Andreas
;
Messmann, Helmut
;
Palm, Christoph
;
Papa, Joao P.
Total Authors: 8
|
| Document type: | Journal article |
| Source: | BILDVERARBEITUNG FUR DIE MEDIZIN 2021; v. N/A, p. 6-pg., 2021-01-01. |
| Abstract | |
Barrett's esophagus denotes a disorder in the digestive system that affects the esophagus' mucosal cells, causing reflux, and showing potential convergence to esophageal adenocarcinoma if not treated in initial stages. Thus, fast and reliable computer-aided diagnosis becomes considerably welcome. Nevertheless, such approaches usually suffer from imbalanced datasets, which can be addressed through Generative Adversarial Networks (GANs). Such techniques generate realistic images based on observed samples, even though at the cost of a proper selection of its hyperparameters. Many works employed a class of nature-inspired algorithms called metaheuristics to tackle the problem considering distinct deep learning approaches. Therefore, this paper's main contribution is to introduce metaheuristic techniques to fine-tune GANs in the context of Barrett's esophagus identification, as well as to investigate the feasibility of generating high-quality synthetic images for early-cancer assisted identification. (AU) | |
| FAPESP's process: | 16/19403-6 - Energy-based learning models and their applications |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 19/08605-5 - Computer-assisted diagnosis of Barretts's esophagus using machine learning techniques |
| Grantee: | Luis Antonio de Souza Júnior |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 17/04847-9 - Barrett's Esophagus Assisted Diagnosis Using Machine Learning |
| Grantee: | Luis Antonio de Souza Júnior |
| Support Opportunities: | Scholarships in Brazil - Doctorate |