Lung cancer is the leading cause of cancer-related mortality. 1, 2 Lung cancer screening
(LCS) with lowdose computed tomography (LDCT) has been demonstrated in randomized …

The vertebrate respiratory system is challenging to study. The complex relationship between
the lungs and adjacent tissues, the vast structural diversity of the respiratory system both …

Despite periodic changes in the clinical definition of ARDS, imaging of the lung remains a
central component of its diagnostic identification. Several imaging modalities are available …

Objectives: To introduce the 2022 International Medical Informatics Association (IMIA)
Yearbook by the editors. Methods: The editorial provides an introduction and overview to the …

For the last three years, the world has been facing an infectious disease that primarily affects
the human breathing organ. The disease has caused many deaths worldwide so far and has …

Medical image segmentation is an increasingly popular area of research in medical imaging
processing and analysis. However, many researchers who are new to the field struggle with …

We propose Boundary-RL, a novel weakly supervised segmentation method that utilises
only patch-level labels for training. We envision segmentation as a boundary detection …

This paper presents a novel semi-automatic method for lung segmentation in thoracic CT
datasets. The fully three-dimensional algorithm is based on a level set representation of an …

The COVID-19 pandemic response highlighted the potential of deep learning methods in
facilitating the diagnosis and prognosis of lung diseases through automated segmentation of …

Objective: Federated Learning (FL) enables collaborative model training while keeping data
locally. Currently, most FL studies in radiology are conducted in simulated environments due …