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Machine learning in radiology: the new frontier in interstitial lung diseases
H Barnes, SM Humphries, PM George… - The Lancet Digital …, 2023 - thelancet.com
Challenges for the effective management of interstitial lung diseases (ILDs) include
difficulties with the early detection of disease, accurate prognostication with baseline data …
difficulties with the early detection of disease, accurate prognostication with baseline data …
Beyond visual interpretation: quantitative analysis and artificial intelligence in interstitial lung disease diagnosis “expanding horizons in radiology”
G Rea, N Sverzellati, M Bocchino, R Lieto, G Milanese… - Diagnostics, 2023 - mdpi.com
Diffuse lung disorders (DLDs) and interstitial lung diseases (ILDs) are pathological
conditions affecting the lung parenchyma and interstitial network. There are approximately …
conditions affecting the lung parenchyma and interstitial network. There are approximately …
ADU-Net: an attention dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images
An automatic method for qualitative and quantitative evaluation of chest Computed
Tomography (CT) images is essential for diagnosing COVID-19 patients. We aim to develop …
Tomography (CT) images is essential for diagnosing COVID-19 patients. We aim to develop …
Recent advances of artificial intelligence applications in interstitial lung diseases
Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …
Segmentation and classification of interstitial lung diseases based on hybrid deep learning network model
Interstitial lung diseases (ILD) are diverse diseases that share pathological, radiological,
and clinical traits and involve interstitial fibrosis and inflammation. These have a significant …
and clinical traits and involve interstitial fibrosis and inflammation. These have a significant …
The potential role of artificial intelligence in the clinical practice of interstitial lung disease
T Handa - Respiratory Investigation, 2023 - Elsevier
Artificial intelligence (AI) is being widely applied in the field of medicine, in areas such as
drug discovery, diagnostic support, and assistance with medical practice. Among these …
drug discovery, diagnostic support, and assistance with medical practice. Among these …
Deep learning for the early identification of periodontitis: a retrospective, multicentre study
Q Liu, F Dai, H Zhu, H Yang, Y Huang, L Jiang, X Tang… - Clinical Radiology, 2023 - Elsevier
Aim To develop a deep-learning model to help general dental practitioners diagnose
periodontitis accurately and at an early stage. Materials and methods First, the panoramic …
periodontitis accurately and at an early stage. Materials and methods First, the panoramic …
CNN architecture for lung cancer detection
C Tejaswini, P Nagabushanam… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
Lungs play major role for the respiratory rate in a human being. Lung cancer can be
detected only after the disease spreads to neighboring parts and hence detecting lung …
detected only after the disease spreads to neighboring parts and hence detecting lung …
Novel 3D-based deep learning for classification of acute exacerbation of idiopathic pulmonary fibrosis using high-resolution CT
X Huang, W Si, X Ye, Y Zhao, H Gu… - BMJ Open …, 2024 - bmjopenrespres.bmj.com
Purpose Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is the primary cause of
death in patients with IPF, characterised by diffuse, bilateral ground-glass opacification on …
death in patients with IPF, characterised by diffuse, bilateral ground-glass opacification on …
Quantitative CT imaging and advanced visualization methods: potential application in novel coronavirus disease 2019 (COVID-19) pneumonia
Increasingly, quantitative lung computed tomography (qCT)-derived metrics are providing
novel insights into chronic inflammatory lung diseases, including chronic obstructive …
novel insights into chronic inflammatory lung diseases, including chronic obstructive …