Purpose One critical factor that restricts the clinical application of computer-aided liver and
tumor segmentation is the method's high complexity and low accuracy. Overcoming this …

The accurate segmentation and identification of vertebrae presents the foundations for spine
analysis including fractures, malfunctions and other visual insights. The large-scale …

Spine image analysis is based on the accurate segmentation and vertebrae recognition of
the spine. Several deep learning models have been proposed for spine segmentation and …

Nuclei identification is a fundamental task in many areas of biomedical image analysis
related to computational pathology applications. Nowadays, deep learning is the primary …

Liver segmentation is a crucial step in surgical planning from computed tomography scans.
The possibility to obtain a precise delineation of the liver boundaries with the exploitation of …

The COVID-19 pandemic is inevitably changing the world in a dramatic way, and the role of
computed tomography (CT) scans can be pivotal for the prognosis of COVID-19 patients …

The efficient and accurate segmentation of the spine shows the basis of spine analysis
including visual insights, malfunctions, and fractures. The spine is made up of 33 vertebrae …

In prostate cancer, fusion biopsy, which couples magnetic resonance imaging (MRI) with
transrectal ultrasound (TRUS), poses the basis for targeted biopsy by allowing the …

Segmentation and visualisation of the hepatic vessels and inferior vena cava in three-
dimensional computed tomography (CT) images are crucial for computer-aided diagnosis …

The segmentation of hepatic vessels is crucial for liver surgical planning. It is also a
challenging task because of its small diameter. Hepatic vessels are often captured in images …