Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …

Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …

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 …

Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

Chronic kidney disease (CKD) causes irreversible damage to kidney structure and function.
Arising from various etiologies, risk factors for CKD include hypertension and diabetes. With …

Early diagnosis of transplanted kidney function requires precise Kidney segmentation from
Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In …

Polarimetric imaging is useful for object recognition and material classification because of its
ability to discriminate objects based on polarimetric signatures of materials. Polarimetric …