A novel approach to keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes
暂无分享,去创建一个
Tiago Gonçalves | Maria João Cardoso | Jaime S. Cardoso | Wilson Silva | M. Cardoso | J. Cardoso | W. Silva | Tiago Gonçalves
[1] Gilles Louppe,et al. Independent consultant , 2013 .
[2] Andrew Zisserman,et al. Recurrent Human Pose Estimation , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[3] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[4] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[5] K. Ingwersen,et al. Oncology Nursing Drug Handbook , 1998 .
[6] Emmanuelle Gouillart,et al. scikit-image: image processing in Python , 2014, PeerJ.
[7] Xiangyu Zhang,et al. Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Jaime S. Cardoso,et al. Recommendations for the aesthetic evaluation of breast cancer conservative treatment , 2012, Breast Cancer Research and Treatment.
[9] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[10] Jaime S. Cardoso,et al. Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes , 2019, IFMBE Proceedings.
[11] I. Fentiman,et al. Breast compliance: A new method for evaluation of cosmetic outcome after conservative treatment of early breast cancer , 1990, Breast Cancer Research and Treatment.
[12] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Jaime S. Cardoso,et al. Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment , 2008, Computer Recognition Systems 2.
[14] M. Gnant,et al. The use of a breast symmetry index for objective evaluation of breast cosmesis. , 2007, Breast.
[15] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[16] Maria João Cardoso,et al. Interobserver agreement and consensus over the esthetic evaluation of conservative treatment for breast cancer. , 2006, Breast.
[17] Jaime S. Cardoso,et al. Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment , 2019, Breast.
[18] Jaime S. Cardoso,et al. Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment , 2007, Artif. Intell. Medicine.
[19] M. Gnant,et al. Objective breast symmetry analysis with the breast analyzing tool (BAT): improved tool for clinical trials , 2017, Breast Cancer Research and Treatment.
[20] Jaime S. Cardoso,et al. Breast contour detection with shape priors , 2008, 2008 15th IEEE International Conference on Image Processing.
[21] J O Archambeau,et al. Breast retraction assessment: an objective evaluation of cosmetic results of patients treated conservatively for breast cancer. , 1985, International journal of radiation oncology, biology, physics.
[22] M. Noguchi,et al. Breast deformity, its correction, and assessment of breast conserving surgery , 1991, Breast Cancer Research and Treatment.
[23] Jaime S. Cardoso,et al. Methods for the Aesthetic Evaluation of Breast Cancer Conservation Treatment: A Technological Review , 2013 .
[24] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[25] E. van der Schueren,et al. Cosmetic evaluation of breast conserving treatment for mammary cancer. 1. Proposal of a quantitative scoring system. , 1989 .
[26] R W Blamey,et al. The cosmetic outcome in early breast cancer treated with breast conservation. , 1999, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.
[27] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[29] Jaime S. Cardoso,et al. Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer , 2015, Int. J. Pattern Recognit. Artif. Intell..
[30] R. Pezner,et al. Limited usefulness of observer-based cosmesis scales employed to evaluate patients treated conservatively for breast cancer. , 1985, International journal of radiation oncology, biology, physics.
[31] Nima Tajbakhsh,et al. UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.
[32] S Hellman,et al. Analysis of cosmetic results following primary radiation therapy for stages I and II carcinoma of the breast. , 1979, International journal of radiation oncology, biology, physics.
[33] Jaime S. Cardoso,et al. Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes , 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
[34] S. McGuire. World Cancer Report 2014. Geneva, Switzerland: World Health Organization, International Agency for Research on Cancer, WHO Press, 2015. , 2016, Advances in nutrition.