Pulmonary Nodule Detection in CT Images Using Optimal Multilevel Thresholds and Rule-based Filtering-Reference-Cited by-同舟云学术

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Pulmonary Nodule Detection in CT Images Using Optimal Multilevel Thresholds and Rule-based Filtering

Published:2019-04-16 Issue: Volume: Page:1-18
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Sahu Satya Prakash¹^ORCID,Londhe Narendra D²^ORCID,Verma Shrish³^ORCID

Affiliation:

1. Department of Information Technology, National Institute of Technology Raipur, Raipur, Chhattisgarh, India

2. Department of Electrical Engineering, National Institute of Technology Raipur, Raipur, Chhattisgarh, India

3. Department of Electronics & Telecommunication Engineering, National Institute of Technology Raipur, Raipur, Chhattisgarh, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2019.1603084

Reference48 articles.

1. Screening for Lung Cancer with Low-Dose Spiral Computed Tomography

2. Pulmonary Nodules at Chest CT: Effect of Computer-aided Diagnosis on Radiologists’ Detection Performance

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1. A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation;Scientific Data;2024-07-27

2. Enhancing Lung Nodule Classification: A Novel CViEBi-CBGWO Approach with Integrated Image Preprocessing;Journal of Imaging Informatics in Medicine;2024-03-25

3. Particle Swarm Optimizer Variants for Multi-level Thresholding: Theory, Performance Enhancement and Evaluation;Archives of Computational Methods in Engineering;2024-03-01

4. Pulmonary Nodule Segmentation Using Deep Learning: A Review;IEEE Access;2024

5. Lung segmentation in chest X‐ray image using multi‐interaction feature fusion network;IET Image Processing;2023-09-12

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