Lung Nodules Segmentation with DeepHealth Toolkit

Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Attilio Fiandrotti; Maurizio Lucenteforte; Davide Cavagnino

doi:10.1007/978-3-031-13321-3_43

Lung Nodules Segmentation with DeepHealth Toolkit

Hafiza Ayesha Hoor Chaudhry^*, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection of lung nodules is essential for the early cancer diagnosis and survival rate of patients. The goal of this study was to demonstrate the feasibility of Deephealth toolkit including PyECVL and PyEDDL libraries to precisely segment lung nodules. Experiments for lung nodules segmentation has been carried out on UniToChest using PyECVL and PyEDDL, for data pre-processing as well as neural network training. The results depict accurate segmentation of lung nodules across a wide diameter range and better accuracy over a traditional detection approach. The datasets and the code used in this paper are publicly available as a baseline reference.

Original language	English
Title of host publication	Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers
Editors	Pier Luigi Mazzeo, Cosimo Distante, Emanuele Frontoni, Stan Sclaroff
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	487-497
Number of pages	11
ISBN (Print)	9783031133206
DOIs	https://doi.org/10.1007/978-3-031-13321-3_43
Publication status	Published - 2022
Externally published	Yes
Event	21st International Conference on Image Analysis and Processing , ICIAP 2022 - Lecce, Italy Duration: 23 May 2022 → 27 May 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13373 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Image Analysis and Processing , ICIAP 2022
Country/Territory	Italy
City	Lecce
Period	23/05/22 → 27/05/22

Keywords

Chest CT scan
Dataset
Deep learning
DeepHealth
Lung nodules
Medical image segmentation
U-Net

Access to Document

10.1007/978-3-031-13321-3_43

Cite this

Chaudhry, H. A. H., Renzulli, R., Perlo, D., Santinelli, F., Tibaldi, S., Cristiano, C., Grosso, M., Fiandrotti, A., Lucenteforte, M., & Cavagnino, D. (2022). Lung Nodules Segmentation with DeepHealth Toolkit. In P. L. Mazzeo, C. Distante, E. Frontoni, & S. Sclaroff (Eds.), Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers (pp. 487-497). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13373 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-13321-3_43

Chaudhry, Hafiza Ayesha Hoor ; Renzulli, Riccardo ; Perlo, Daniele et al. / Lung Nodules Segmentation with DeepHealth Toolkit. Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers. editor / Pier Luigi Mazzeo ; Cosimo Distante ; Emanuele Frontoni ; Stan Sclaroff. Springer Science and Business Media Deutschland GmbH, 2022. pp. 487-497 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{dabf86b17d554a2b8db8a22ec2aaefe7,

title = "Lung Nodules Segmentation with DeepHealth Toolkit",

abstract = "The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection of lung nodules is essential for the early cancer diagnosis and survival rate of patients. The goal of this study was to demonstrate the feasibility of Deephealth toolkit including PyECVL and PyEDDL libraries to precisely segment lung nodules. Experiments for lung nodules segmentation has been carried out on UniToChest using PyECVL and PyEDDL, for data pre-processing as well as neural network training. The results depict accurate segmentation of lung nodules across a wide diameter range and better accuracy over a traditional detection approach. The datasets and the code used in this paper are publicly available as a baseline reference.",

keywords = "Chest CT scan, Dataset, Deep learning, DeepHealth, Lung nodules, Medical image segmentation, U-Net",

author = "Chaudhry, {Hafiza Ayesha Hoor} and Riccardo Renzulli and Daniele Perlo and Francesca Santinelli and Stefano Tibaldi and Carmen Cristiano and Marco Grosso and Attilio Fiandrotti and Maurizio Lucenteforte and Davide Cavagnino",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 21st International Conference on Image Analysis and Processing , ICIAP 2022 ; Conference date: 23-05-2022 Through 27-05-2022",

year = "2022",

doi = "10.1007/978-3-031-13321-3_43",

language = "English",

isbn = "9783031133206",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "487--497",

editor = "Mazzeo, {Pier Luigi} and Cosimo Distante and Emanuele Frontoni and Stan Sclaroff",

booktitle = "Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers",

address = "Germany",

}

Chaudhry, HAH, Renzulli, R, Perlo, D, Santinelli, F, Tibaldi, S, Cristiano, C, Grosso, M, Fiandrotti, A, Lucenteforte, M & Cavagnino, D 2022, Lung Nodules Segmentation with DeepHealth Toolkit. in PL Mazzeo, C Distante, E Frontoni & S Sclaroff (eds), Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13373 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 487-497, 21st International Conference on Image Analysis and Processing , ICIAP 2022, Lecce, Italy, 23/05/22. https://doi.org/10.1007/978-3-031-13321-3_43

Lung Nodules Segmentation with DeepHealth Toolkit. / Chaudhry, Hafiza Ayesha Hoor; Renzulli, Riccardo; Perlo, Daniele et al.
Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers. ed. / Pier Luigi Mazzeo; Cosimo Distante; Emanuele Frontoni; Stan Sclaroff. Springer Science and Business Media Deutschland GmbH, 2022. p. 487-497 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13373 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Lung Nodules Segmentation with DeepHealth Toolkit

AU - Chaudhry, Hafiza Ayesha Hoor

AU - Renzulli, Riccardo

AU - Perlo, Daniele

AU - Santinelli, Francesca

AU - Tibaldi, Stefano

AU - Cristiano, Carmen

AU - Grosso, Marco

AU - Fiandrotti, Attilio

AU - Lucenteforte, Maurizio

AU - Cavagnino, Davide

PY - 2022

Y1 - 2022

N2 - The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection of lung nodules is essential for the early cancer diagnosis and survival rate of patients. The goal of this study was to demonstrate the feasibility of Deephealth toolkit including PyECVL and PyEDDL libraries to precisely segment lung nodules. Experiments for lung nodules segmentation has been carried out on UniToChest using PyECVL and PyEDDL, for data pre-processing as well as neural network training. The results depict accurate segmentation of lung nodules across a wide diameter range and better accuracy over a traditional detection approach. The datasets and the code used in this paper are publicly available as a baseline reference.

AB - The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection of lung nodules is essential for the early cancer diagnosis and survival rate of patients. The goal of this study was to demonstrate the feasibility of Deephealth toolkit including PyECVL and PyEDDL libraries to precisely segment lung nodules. Experiments for lung nodules segmentation has been carried out on UniToChest using PyECVL and PyEDDL, for data pre-processing as well as neural network training. The results depict accurate segmentation of lung nodules across a wide diameter range and better accuracy over a traditional detection approach. The datasets and the code used in this paper are publicly available as a baseline reference.

KW - Chest CT scan

KW - Dataset

KW - Deep learning

KW - DeepHealth

KW - Lung nodules

KW - Medical image segmentation

KW - U-Net

UR - http://www.scopus.com/inward/record.url?scp=85135831784&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-13321-3_43

DO - 10.1007/978-3-031-13321-3_43

M3 - Conference contribution

AN - SCOPUS:85135831784

SN - 9783031133206

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 487

EP - 497

BT - Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers

A2 - Mazzeo, Pier Luigi

A2 - Distante, Cosimo

A2 - Frontoni, Emanuele

A2 - Sclaroff, Stan

PB - Springer Science and Business Media Deutschland GmbH

T2 - 21st International Conference on Image Analysis and Processing , ICIAP 2022

Y2 - 23 May 2022 through 27 May 2022

ER -

Chaudhry HAH, Renzulli R, Perlo D, Santinelli F, Tibaldi S, Cristiano C et al. Lung Nodules Segmentation with DeepHealth Toolkit. In Mazzeo PL, Distante C, Frontoni E, Sclaroff S, editors, Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 487-497. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-13321-3_43