Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model-Reference-Cited by-同舟云学术

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model

Published:2022-11 Issue: Volume:150 Page:106113
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Gao Riqiang^ORCID,Li Thomas^ORCID,Tang Yucheng,Xu Kaiwen,Khan Mirza^ORCID,Kammer Michael,Antic Sanja L.,Deppen Stephen,Huo Yuankai,Lasko Thomas A.,Sandler Kim L.,Maldonado Fabien^ORCID,Landman Bennett A.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference36 articles.

1. Cancer Statistics, 2019;Siegel,2019

2. Cancer statistics, 2021;Siegel;CA A Cancer J. Clin.,2021

3. Recent trends in the identification of incidental pulmonary nodules;Gould;Am. J. Respir. Crit. Care Med.,2015

4. Cancer Statistics;Siegel,2018

5. Reduced lung-cancer mortality with low-dose computed tomographic screening;Aberle;N. Engl. J. Med.,2011

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques;Expert Systems with Applications;2024-12

2. Heuristically Modified Attention Residual Network Aided Pulmonary Emphysema Detection with Adaptive Pre-processing and Deep Unet-Based Segmentation;Sensing and Imaging;2024-08-02

3. Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis;Lung;2024-05-23

4. A computed tomography-based score indicative of lung cancer aggression (SILA) predicts lung adenocarcinomas with low malignant potential or vascular invasion;Cancer Biomarkers;2024-05-22

5. Accuracy Study on Deep Learning-Based CT Image Analysis for Lung Nodule Detection and Classification;Traitement du Signal;2024-04-30