Segmentation of medical images is typically one of the first and most critical steps in medical
image analysis. Manual segmentation of volumetric images is labour-intensive and prone to …

The risk of poor post-operative outcome and the benefits of surgical resection as a curative
therapy require careful assessment by the clinical care team for patients with primary and …

Measurements of liver volume from MR images can be valuable for both clinical and
research applications. Automated methods using convolutional neural networks have been …

Introduction Radiogenomic analysis of patients being considered for liver resection is
seldom performed in the clinic despite recent evidence indicating that quantitative MRI could …

Couinaud segmenation, which divides the liver into functional regions, is the most widely
used functional anatomy of the liver and is important for surgical planning and lesion …

It is not uncommon for clinicians to encounter varying degrees of hepatic steatosis in
patients undergoing resection for colorectal liver metastases (CRLM). Magnetic resonance …

Introduction Liver resection is the only curative treatment for colorectal liver metastases
(CLM). Resectability decision-making is therefore a key determinant of outcomes. Wide …

Background Optimisation of the future liver remnant (FLR) is crucial to outcomes of extended
liver resections. This study aimed to assess the quality of the FLR before and after dual vein …

Class imbalance in various forms is a common challenge in machine learning (ML) applied
to medical imaging. One of these forms is the presence of low probability, but unsurprising …

Measurements of liver volume from MR images can be valuable for both clinical and
research applications. Automated methods using convolutional neural networks have been …