Article

Automated 3D CT Segmentation of Intercostal Muscles Using Bayesian U-Net: a retrospective technical validation study with exploratory pulmonary function analysis

2026-08-31

Abstract excerpt

<title>Abstract</title> <p>Background Quantitative evaluation of respiratory muscles is increasingly important in thoracic imaging, yet intercostal muscles remain difficult to assess on computed tomography (CT) because of their thin, curved anatomy. We developed a Bayesian U-Net-based method for automated 3D intercostal muscle segmentation on thin-slice chest CT and explored associations between CT-derived muscl...

Identifiers and source

Literature Corpus work: 9f28f6f0-244a-59d0-bba9-dc6ecce42a3f
DOI: 10.21203/rs.3.rs-10641800/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 12 closest

Automated 3D CT Segmentation of Intercostal Muscles Using Bayesian U-Net: a retrospective technical validation study with exploratory pulmonary function analysisDOI 10.21203/rs.3.rs-10641800/v1Read

Automated Segmentation of Trunk Musculature with a Deep CNN Trained from Sparse Annotations in Radiation Therapy Patients with Metastatic Spine DiseaseSemantic proximity Read

A Clinically Applicable and Generalizable Deep Learning Model for Anterior Mediastinal Tumors in CT Images Across Multiple InstitutionsSemantic proximity Read

Feasibility of Automated Accurate Lung Segmentation Using Deep Learning on Virtual Unenhanced Images from Gemstone Spectral CT Imaging For Pulmonary Ventilation AssessmentSemantic proximity Read

CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank.Semantic proximity Read

COVID-19 Volumetric Pulmonary Lesion Estimation on CT Images Based on Probabilistic Active Contour and CNN SegmentationSemantic proximity Read

Automated L3 Skeletal Muscle Segmentation for Evaluation of Sarcopenia: Development and Independent Validation of an Ensemble-Based 2D nnU-Net Pipeline in a Complex Liver Disease CohortSemantic proximity Read

A Seven-Component Anatomy-Guided Literature Review Framework for Chronic Respiratory Disease and Medical ImagingSemantic proximity Read

Reliable Radiologic Skeletal Muscle Area Assessment - A Biomarker for Cancer Cachexia DiagnosisSemantic proximity Read

Automated 3D Segmentation of Human Vagus Nerve Fascicles and Epineurium from Micro-Computed Tomography Images Using Anatomy-Aware Neural NetworksSemantic proximity Read

3D U-Net For Segmentation of Covid-19-Associated Pulmonary Infiltrates Using Transfer Learning: State-Of-The-Art Results on Affordable HardwareSemantic proximity Read

Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessmentsSemantic proximity Read

Deep learning-assisted multiple organ segmentation from whole-body CT imagesSemantic proximity Read