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.

Lung Nodules Segmentation with DeepHealth Toolkit

Chaudhry H. A. H.;Renzulli R.;Perlo D.;Tibaldi S.;Cristiano C.;Fiandrotti A.;Lucenteforte M.;Cavagnino D.
2022-01-01

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.
21st International Conference on Image Analysis and Processing (ICIAP 2021)
Lecce, Italy
2022
Lecture Notes in Computer Science (LNCS, volume 13373)
Springer Science and Business Media Deutschland GmbH
13373 LNCS
487
497
978-3-031-13320-6
978-3-031-13321-3
https://link.springer.com/chapter/10.1007/978-3-031-13321-3_43
deep learning, lung nodule segmentation
Chaudhry H.A.H.; Renzulli R.; Perlo D.; Santinelli F.; Tibaldi S.; Cristiano C.; Grosso M.; Fiandrotti A.; Lucenteforte M.; Cavagnino D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1875390
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