ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.06668
  4. Cited By
Characterization of Lung Nodule Malignancy using Hybrid Shape and
  Appearance Features

Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features

21 September 2016
Mario Buty
Ziyue Xu
Mingchen Gao
Ulas Bagci
Aaron Wu
D. Mollura
ArXivPDFHTML

Papers citing "Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features"

3 / 3 papers shown
Title
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
37
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
39
102
0
02 Mar 2017
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
52
4,587
0
10 Feb 2016
1