Search Results - "Cheng, Amanda J. L."
-
1
A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT
Published in European spine journal (01-11-2023)“…Purpose To develop a deep learning (DL) model for epidural spinal cord compression (ESCC) on CT, which will aid earlier ESCC diagnosis for less experienced…”
Get full text
Journal Article -
2
Metastatic mucinous adenocarcinoma arising from chronic fistula-in-ano
Published in Japanese journal of clinical oncology (01-11-2021)Get full text
Journal Article -
3
Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT
Published in Frontiers in oncology (04-05-2023)“…Metastatic spinal cord compression (MSCC) is a disastrous complication of advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT…”
Get full text
Journal Article -
4
Improved Productivity Using Deep Learning–assisted Reporting for Lumbar Spine MRI
Published in Radiology (01-10-2022)Get full text
Journal Article -
5
Deep Learning Model for Grading Metastatic Epidural Spinal Cord Compression on Staging CT
Published in Cancers (30-06-2022)“…Background: Metastatic epidural spinal cord compression (MESCC) is a disastrous complication of advanced malignancy. Deep learning (DL) models for automatic…”
Get full text
Journal Article -
6
Unexpected case of pneumomediastinum and subcutaneous emphysema: primary or secondary aetiology?
Published in BMJ case reports (19-04-2018)“…A 77-year-old man was admitted with a relapse of antineutrophil cytoplasmic antibody-positive vasculitis with pulmonary involvement and acute kidney injury…”
Get full text
Journal Article -
7
Improved Productivity Using Deep Learning-assisted Reporting for Lumbar Spine MRI
Published in Radiology (14-06-2022)“…Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involves grading lumbar spinal stenosis, which is repetitive and…”
Get full text
Journal Article