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    2019

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

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

    Publication
    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.

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    2019

    Weight Rotation as a Regularization Strategy in Convolutional Neural Networks

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

    Publication
    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

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

    Publication
    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

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

    Publication
    PLOS ONE

    Abstract

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