| Grant number: | 19/00585-5 |
| Support Opportunities: | Regular Research Grants |
| Start date: | August 01, 2019 |
| End date: | July 31, 2022 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Agreement: | Australian Technology Network of Universities (ATN) |
| Mobility Program: | SPRINT - Projetos de pesquisa - Mobilidade |
| Principal Investigator: | João Paulo Papa |
| Grantee: | João Paulo Papa |
| Principal researcher abroad: | Dinesh Kant Kumar |
| Institution abroad: | RMIT University, Melbourne, Australia |
| Host Institution: | Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil |
| Associated research grant: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?, AP.TEM |
Abstract
Undiagnosed diabetic retinopathy (DR) leads to vision impairment and blindness, and its early detection can significantly reduce severe vision impairment by 50%. The presence of exudates in fundus images is one of the first signs of such a disease, but their manual detection is examiner-dependent and time-consuming. In this proposal, we aim at coping with the lack of data concerning computer-assisted DR detection by synthesizing retina images through Generative Adversarial Networks (GANs). The proposal will introduce the concept of Evolving GANs, where evolutionary optimization will be employed to either fine-tune GAN hyperparameters and to learn composite loss functions. The Brazilian team will be in charge of the machine learning side; meanwhile the Australian team will take care of the dataset and the knowledge about the problem. (AU)
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