Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies

Background: The aim of this work is to identify an automatic, accurate, and fast deep learning segmentation approach, applied to the parenchyma, using a very small dataset of high-resolution computed tomography images of patients with idiopathic pulmonary fibrosis. In this way, we aim to enhance the...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:J Imaging
Hlavní autoři: Comelli, Albert, Coronnello, Claudia, Dahiya, Navdeep, Benfante, Viviana, Palmucci, Stefano, Basile, Antonio, Vancheri, Carlo, Russo, Giorgio, Yezzi, Anthony, Stefano, Alessandro
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2020
Témata:
Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8321165/
https://ncbi.nlm.nih.gov/pubmed/34460569
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jimaging6110125
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky