CPO - Carteira de projetos online.

bitstream/CNPT-2010/40597/1/p-co232.pd

Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection

We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions. Our contributions are two folds: 1) a network termed Zoom-in-Net which mimics the zoom-in process of a clinician to examine the retinal images. Trained with only image-level supervisions, Zoomin-Net can generate attention maps which highlight suspicious regions, and predicts the disease level accurately based on both the whole image and its high resolution suspicious patches. 2) Only four bounding boxes generated from the automatically learned attention maps are enough to cover 80% of the lesions labeled by an experienced ophthalmologist, which shows good localization ability of the attention maps. By clustering features at high response locations on the attention maps, we discover meaningful clusters which contain potential lesions in diabetic retinopathy. Experiments show that our algorithm outperform the state-of-the-art methods on two datasets, EyePACS and Messidor.Comment: accepted by MICCAI 201

Cork biomass biocomposites: lightweight and sustainable materials

Chapter 17. Cork biomass biocomposites: lightweight and sustainable materials.The authors would like to thank to the financial support from the Portuguese Foundation for Science and Technology (FCT) for the fellowship grant of Emanuel M. Fernandes (SFRH/BPD/96197/2013), “Fundo Social Europeu”- FSE and “Programa Diferencial de Potencial Humano POPH”.info:eu-repo/semantics/publishedVersio

Ensaio estadual de cultivares de trigo do Rio Grande do Sul, 2009.

bitstream/item/34686/1/ensaio-estadual-cultivares2009.pd

Surgical correction of scoliosis: Numerical analysis and optimization of the procedure

A previously developed model is used to numerically simulate real clinical cases of the surgical correction of scoliosis. This model consists of one-dimensional finite elements with spatial deformation in which (i) the column is represented by its axis; (ii) the vertebrae are assumed to be rigid; and (iii) the deformability of the column is concentrated in springs that connect the successive rigid elements. The metallic rods used for the surgical correction are modeled by beam elements with linear elastic behavior. To obtain the forces at the connections between the metallic rods and the vertebrae geometrically, non-linear finite element analyses are performed. The tightening sequence determines the magnitude of the forces applied to the patient column, and it is desirable to keep those forces as small as possible. In this study, a Genetic Algorithm optimization is applied to this model in order to determine the sequence that minimizes the corrective forces applied during the surgery. This amounts to find the optimal permutation of integers 1, ... , n, n being the number of vertebrae involved. As such, we are faced with a combinatorial optimization problem isomorph to the Traveling Salesman Problem. The fitness evaluation requires one computing intensive Finite Element Analysis per candidate solution and, thus, a parallel implementation of the Genetic Algorithm is developed

Germinação pré-colheita em trigo: grãos germinados e número de queda após simulação de chuva.

Editores técnicos: Joseani Mesquita Antunes, Ana Lídia Variani Bonato, Márcia Barrocas Moreira Pimentel

Embrapa Trigo: carteira de projetos de pesquisa e desenvolvimento em 2010.

bitstream/CNPT-2010/41153/1/p-do120.pd

Embrapa Trigo: carteira de projetos de Pesquisa e Desenvolvimento em 2008.

bitstream/CNPT-2010/40710/1/p-do92.pd