Latest AI and machine learning research in pulmonology for healthcare professionals.
We have previously developed a robotic ultrasound imaging system for motion monitoring in abdominal ...
PURPOSE: To predict the spatial and temporal trajectories of lung tumor during radiotherapy monitore...
BACKGROUND: Predicting lung adenocarcinoma (LUAD) risk is crucial in determining further treatment s...
OBJECTIVE: To investigate the natural history of persistent pulmonary pure ground-glass nodules (pGG...
To predict lung nodule malignancy with a high sensitivity and specificity for low dose CT (LDCT) lun...
Histopathology image analysis serves as the gold standard for cancer diagnosis. Efficient and precis...
OBJECTIVES: The aim of this study was to develop a deep convolutional neural network (DCNN) for the ...
In recent years, physiological features have gained more attention in developing models of personal ...
This paper introduces a deep neural network based method, i.e., DeepOrganNet, to generate and visual...
To predict real-time 3D deformation field maps (DFMs) using Volumetric Cine MRI (VC-MRI) and adaptiv...
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing p...
PURPOSE: Accurate tumor segmentation is a requirement for magnetic resonance (MR)-based radiotherapy...
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical wor...
Volumetric imaging is an essential diagnostic tool for medical practitioners. The use of popular tec...
BACKGROUND: The aim of this study was to investigate the influence of convolution kernel and iterati...
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detec...
Lung cancer is the leading cause of cancer deaths worldwide and early diagnosis of lung nodule is of...
Lung cancer has become one of the life-threatening killers. Lung disease need to be assisted by CT i...
Cancer has been one of the most threatening diseases to human health. There have been many efforts d...
In this letter, we propose two novel methods for four-class motor imagery (MI) classification using ...
Secretory proteins of Mycobacterium tuberculosis have created more concern, given their dominant imm...