A hybrid machine learning technique for early prediction of lung nodules from medical images using a learning‐based neural network classifier-Reference-Cited by-同舟云学术

A hybrid machine learning technique for early prediction of lung nodules from medical images using a learning‐based neural network classifier

Published:2022-12-12 Issue:3 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Syed Musthafa A.¹^ORCID,Sankar K.²,Benil T.³,Rao Yamarthi Narasimha⁴

Affiliation:

1. Department of Information Technology M.Kumarasamy College of Engineering Karur India

2. Department of Computer Science and Engineering GITAM School of Technology, GITAM University Doddaballapura India

3. School of Computer Science and Engineering Vellore Institute of Technology Chennai India

4. School of Computer Science and Engineering VIT‐AP University Amaravati India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7488

Reference31 articles.

1. Impact of molecular alterations on quality of life and prognostic understanding over time in patients with incurable lung cancer: a multicenter, longitudinal, prospective cohort study

2. Pulmonary nodules detection based on multi‐scale attention networks;Zhang H;Sci Rep,2022

3. Improved cost‐sensitive multi‐kernel learning support vector machine algorithm based on particle swarm optimization in pulmonary nodule recognition;Li Y;Soft Comput,2022

4. Prediction of lymph node metastasis of clinical stage IA non‐small cell lung cancer based on the tumor volume doubling time;Nakahashi K;Surg Today,2022

5. Volumetric Measurements in Lung Cancer Screening Reduces Unnecessary Low-Dose Computed Tomography Scans: Results from a Single-Center Prospective Trial on 4119 Subjects

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