Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

23 February 2021

Papers citing "Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks"

7 / 7 papers shown

Title
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation D. Powers 160 5,260 0 11 Oct 2020
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images Jo Schlemper Ozan Oktay M. Schaap M. Heinrich Bernhard Kainz Ben Glocker Daniel Rueckert MedIm 64 1,464 0 22 Aug 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 154 5,018 0 11 Apr 2018
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 113 2,569 0 12 Dec 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 237 9,305 0 14 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 299 7,289 0 20 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 436 7,658 0 03 Jul 2012