Radiomics applications in spleen imaging: A systematic review and methodological quality assessment
SC Fanni, M Febi, R Francischello, FP Caputo… - Diagnostics, 2023 - mdpi.com
The spleen, often referred to as the “forgotten organ”, plays numerous important roles in
various diseases. Recently, there has been an increased interest in the application of …
various diseases. Recently, there has been an increased interest in the application of …
Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosis
A Arian, MM Mehrabi Nejad, M Zoorpaikar… - Plos one, 2023 - journals.plos.org
Background Artificial intelligence (AI)-aided analysis of chest CT expedites the quantification
of abnormalities and may facilitate the diagnosis and assessment of the prognosis of …
of abnormalities and may facilitate the diagnosis and assessment of the prognosis of …
Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomes
C Nardi, A Magnini, L Calistri, E Cavigli… - BMC Pulmonary …, 2023 - Springer
Background COVID-19 is a pandemic disease affecting predominantly the respiratory
apparatus with clinical manifestations ranging from asymptomatic to respiratory failure …
apparatus with clinical manifestations ranging from asymptomatic to respiratory failure …
[HTML][HTML] Quantitative Chest CT Analysis: Three Different Approaches to Quantify the Burden of Viral Interstitial Pneumonia Using COVID-19 as a Paradigm
SC Fanni, L Colligiani, F Volpi, L Novaria… - Journal of Clinical …, 2024 - mdpi.com
Objectives: To investigate the relationship between COVID-19 pneumonia outcomes and
three chest CT analysis approaches. Methods: Patients with COVID-19 pneumonia who …
three chest CT analysis approaches. Methods: Patients with COVID-19 pneumonia who …
Quantitative CT Texture Analysis of COVID-19 Hospitalized Patients during 3–24-Month Follow-Up and Correlation with Functional Parameters
Background: To quantitatively evaluate CT lung abnormalities in COVID-19 survivors from
the acute phase to 24-month follow-up. Quantitative CT features as predictors of …
the acute phase to 24-month follow-up. Quantitative CT features as predictors of …
[PDF][PDF] Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation
Deep learning and computer-aided detection (CAD) methods play a pivotal role in the early
detection and diagnosis of various cancer types. The significance of AI in the medical field …
detection and diagnosis of various cancer types. The significance of AI in the medical field …
DP-UNet: Dual Branch Attention Multi-Layer Encoder and Progressive Fused Pyramid Pooling Network for Covid-19 Infection Region Segmentation
Q Mao, W Wang, Y Tian, J Wang, Z Xiang… - Available at SSRN … - papers.ssrn.com
Computer-aided diagnostic imaging plays a crucial role in diagnosis of the Corona Virus
Disease 2019 (COVID-19) infection. U-Net is popular in COVID-19 segmentation, but during …
Disease 2019 (COVID-19) infection. U-Net is popular in COVID-19 segmentation, but during …
Computational techniques for biomedical image processing
RF Cabini - 2024 - iris.unipv.it
The aim of this PhD thesis is to explore the application of computational methods to address
segmentation and image generation problems for different biomedical applications and …
segmentation and image generation problems for different biomedical applications and …
[引用][C] Fighting against COVID‐19: Innovations and applications
Y Zhang - International Journal of Imaging Systems and …, 2023 - Wiley Online Library
COVID-19 has triggered over 6.90 million deaths worldwide until the cutoff date of April 23,
2023. The impact of the pandemic on individual countries and regions varies greatly, 1 with …
2023. The impact of the pandemic on individual countries and regions varies greatly, 1 with …