Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline

18 December 2019

Papers citing "Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline"

7 / 7 papers shown

Title
S4ND: Single-Shot Single-Scale Lung Nodule Detection Naji Khosravan Ulas Bagci MedIm 18 107 0 06 May 2018
Highly accurate model for prediction of lung nodule malignancy with CT scans J. Causey Junyu Zhang Shiqian Ma Bo Jiang J. Qualls D. Politte Fred Prior Shuzhong Zhang Xiuzhen Huang 36 179 0 06 Feb 2018
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification Wentao Zhu Chaochun Liu Wei Fan Xiaohui Xie MedIm 24 377 0 25 Jan 2018
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning Qi Dou Hao Chen Yueming Jin Huangjing Lin J. Qin Pheng-Ann Heng 20 159 0 13 Aug 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge A. Setio A. Traverso Thomas de Bel Moira S. N. Berens C. V. D. Bogaard ... Jef Vandemeulebroucke N. Walasek G. Zuidhof Bram van Ginneken Colin Jacobs 66 1,066 0 23 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 624 149,474 0 22 Dec 2014