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 proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationImage Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers
EditorsPier Luigi Mazzeo, Cosimo Distante, Emanuele Frontoni, Stan Sclaroff
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9783031133206
Publication statusPublished - 2022
Externally publishedYes
Event21st International Conference on Image Analysis and Processing , ICIAP 2022 - Lecce, Italy
Duration: 23 May 202227 May 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13373 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st International Conference on Image Analysis and Processing , ICIAP 2022


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


Dive into the research topics of 'Lung Nodules Segmentation with DeepHealth Toolkit'. Together they form a unique fingerprint.

Cite this