[HTML][HTML] Computer-aided diagnosis of pulmonary fibrosis using deep learning and CT images

A Christe, AA Peters, D Drakopoulos… - Investigative …, 2019 - journals.lww.com
Objectives The objective of this study is to assess the performance of a computer-aided
diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution …

Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study

SLF Walsh, L Calandriello, M Silva… - The Lancet Respiratory …, 2018 - thelancet.com
Background Based on international diagnostic guidelines, high-resolution CT plays a central
part in the diagnosis of fibrotic lung disease. In the correct clinical context, when high …

[HTML][HTML] Deep learning in interstitial lung disease—how long until daily practice

AA Trusculescu, D Manolescu, E Tudorache… - European …, 2020 - Springer
Interstitial lung diseases are a diverse group of disorders that involve inflammation and
fibrosis of interstitium, with clinical, radiological, and pathological overlapping features …

Imaging research in fibrotic lung disease; applying deep learning to unsolved problems

SLF Walsh, SM Humphries, AU Wells… - The Lancet Respiratory …, 2020 - thelancet.com
Over the past decade, there has been a groundswell of research interest in computer-based
methods for objectively quantifying fibrotic lung disease on high resolution CT of the chest …

Deep learning for screening of interstitial lung disease patterns in high-resolution CT images

S Agarwala, M Kale, D Kumar, R Swaroop, A Kumar… - Clinical radiology, 2020 - Elsevier
AIM To develop a screening tool for the detection of interstitial lung disease (ILD) patterns
using a deep-learning method. MATERIALS AND METHODS A fully convolutional network …

Novel artificial intelligence-based technology for chest computed tomography analysis of idiopathic pulmonary fibrosis

T Handa, K Tanizawa, T Oguma, R Uozumi… - Annals of the …, 2022 - atsjournals.org
Rationale: There is a growing need to accurately estimate the prognosis of idiopathic
pulmonary fibrosis (IPF) in clinical practice, given the development of effective drugs for …

Artificial intelligence for interstitial lung disease analysis on chest computed tomography: a systematic review

S Soffer, AS Morgenthau, O Shimon, Y Barash… - Academic …, 2022 - Elsevier
Rationale and Objectives High-resolution computed tomography (HRCT) is paramount in
the assessment of interstitial lung disease (ILD). Yet, HRCT interpretation of ILDs may be …

A comprehensible machine learning tool to differentially diagnose idiopathic pulmonary fibrosis from other chronic interstitial lung diseases

T Furukawa, S Oyama, H Yokota, Y Kondoh… - …, 2022 - Wiley Online Library
Background and objective Idiopathic pulmonary fibrosis (IPF) has poor prognosis, and the
multidisciplinary diagnostic agreement is low. Moreover, surgical lung biopsies pose …

High resolution multidetector CT-aided tissue analysis and quantification of lung fibrosis

VA Zavaletta, BJ Bartholmai, RA Robb - Academic radiology, 2007 - Elsevier
RATIONALE AND OBJECTIVES: Volumetric high-resolution scans can be acquired of the
lungs with multidetector CT (MDCT). Such scans have potential to facilitate useful …

Predicting usual interstitial pneumonia histopathology from chest CT imaging with deep learning

A Bratt, JM Williams, G Liu, A Panda, PP Patel… - Chest, 2022 - Elsevier
Background Idiopathic pulmonary fibrosis (IPF) is a progressive, often fatal form of interstitial
lung disease (ILD) characterized by the absence of a known cause and usual interstitial …