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Publicações

2019

DEEP KEYPOINT DETECTION FOR THE AESTHETIC EVALUATION OF BREAST CANCER SURGERY OUTCOMES

Autores
Silva, W; Castro, E; Cardoso, MJ; Fitzal, F; Cardoso, JS;

Publicação
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019)

Abstract
Breast cancer high survival rate led to an increased interest in the quality of life after treatment, particularly regarding the aesthetic outcome. Currently used aesthetic assessment methods are subjective, which make reproducibility and impartiality impossible. To create an objective method capable of being selected as the gold standard, it is fundamental to detect, in a completely automatic manner, keypoints in photographs of women's torso after being subjected to breast cancer surgeries. This paper proposes a deep and a hybrid model to detect keypoints with high accuracy. Our methods are tested on two datasets, one composed of images with a clean and consistent background and a second one that contains photographs taken under poor lighting and background conditions. The proposed methods represent an improvement in the detection of endpoints, nipples and breast contour for both datasets in terms of average error distance when compared with the current state-of-the-art.

2019

Weight Rotation as a Regularization Strategy in Convolutional Neural Networks

Autores
Castro, E; Pereira, JC; Cardoso, JS;

Publicação
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Abstract

2018

Elastic deformations for data augmentation in breast cancer mass detection

Autores
Castro, E; Cardoso, JS; Pereira, JC;

Publicação
2018 IEEE EMBS International Conference on Biomedical & Health Informatics, BHI 2018, Las Vegas, NV, USA, March 4-7, 2018

Abstract

2017

Classification of breast cancer histology images using Convolutional Neural Networks

Autores
Araujo, T; Aresta, G; Castro, E; Rouco, J; Aguiar, P; Eloy, C; Polonia, A; Campilho, A;

Publicação
PLOS ONE

Abstract