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A Collaborative Computer Aided Diagnosis (C-CAD) System with
  Eye-Tracking, Sparse Attentional Model, and Deep Learning
v1v2 (latest)

A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning

17 February 2018
Naji Khosravan
H. Celik
Baris Turkbey
E. Jones
Bradford J. Wood
Ulas Bagci
ArXiv (abs)PDFHTML

Papers citing "A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning"

11 / 11 papers shown
Title
S4ND: Single-Shot Single-Scale Lung Nodule Detection
S4ND: Single-Shot Single-Scale Lung Nodule Detection
Naji Khosravan
Ulas Bagci
MedIm
30
107
0
06 May 2018
Semi-supervised multi-task learning for lung cancer diagnosis
Semi-supervised multi-task learning for lung cancer diagnosis
Naji Khosravan
Ulas Bagci
38
42
0
17 Feb 2018
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using
  Deep Convolutional Neural Networks
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
Jia Ding
Aoxue Li
Zhiqiang Hu
Liwei Wang
MedIm
51
345
0
14 Jun 2017
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task
  Learning
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning
Sarfaraz Hussein
K. Cao
Qi Song
Ulas Bagci
47
158
0
28 Apr 2017
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional
  Neural Network with Gaussian Process
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
Sarfaraz Hussein
R. Gillies
K. Cao
Qi Song
Ulas Bagci
44
102
0
02 Mar 2017
Validation, comparison, and combination of algorithms for automatic
  detection of pulmonary nodules in computed tomography images: the LUNA16
  challenge
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
90
1,078
0
23 Dec 2016
Characterization of Lung Nodule Malignancy using Hybrid Shape and
  Appearance Features
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Mario Buty
Ziyue Xu
Mingchen Gao
Ulas Bagci
Aaron Wu
D. Mollura
42
52
0
21 Sep 2016
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into
  Medical Image Segmentation
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation
Naji Khosravan
H. Celik
Baris Turkbey
Ruida Cheng
Evan S. McCreedy
...
E. Jones
Xinjian Chen
Peter L. Choyke
Bradford J. Wood
Ulas Bagci
31
26
0
10 Aug 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
74
4,604
0
10 Feb 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,802
0
02 Nov 2015
Improving Computer-aided Detection using Convolutional Neural Networks
  and Random View Aggregation
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
H. Roth
Le Lu
Jiamin Liu
Jianhua Yao
Ari Seff
Kevin M. Cherry
Lauren Kim
Ronald M. Summers
MedIm
82
558
0
12 May 2015
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