Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed
for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation …

Eye tracking research is important in computer vision because it can help us understand
how humans interact with the visual world. Specifically for high-risk applications, such as in …

Deep learning and radiomics with medical imaging have demonstrated strong potential to
improve diagnostic accuracy of pancreatic cancer, facilitate personalized treatment planning, …

This study was carried out for the simple synthesis of zinc stannate (Zn 2 SnO 4 , ZTO): tin
oxide (SnO 2 ) nanocomposite photocatalyst in order to investigate the photodegradation of …

Polyurethane (PUR) plastic sheets were prepared by reacting hydroxylated polymeric soybean
oil (PSbOH) synthesized from autoxidized soybean oil with polyethylene glycol (PEG) in …

Large-scale, big-variant, and high-quality data are crucial for developing robust and
successful deep-learning models for medical applications since they potentially enable better …

The purpose of this study is to determine the relationship between critical-thinking tendency
and problem-solving skills of pre-service teachers. Research was modelled as relational …

Large-scale, big-variant, high-quality data are crucial for developing robust and successful
deep-learning models for medical applications since they potentially enable better …

Discussion While segmentation accuracy is critical, several other factors must be considered
when developing pancreas segmentation algorithms. Here in this section, we discuss the …