3 citations · 4 across the 3 of their papers we have counts for
3 papers
Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images
Arezoo Borji, Gernot Kronreif, Bernhard Angermayr +1
Recent advances in machine learning are transforming medical image analysis, particularly in cancer detection and classification. Techniques such as deep learning, especially convo…
Silicone phantoms fabricated with multi-material extrusion 3D printing technology mimicking imaging properties of soft tissues in CT
Sepideh Hatamikia, Laszlo Jaksa, Gernot Kronreif +4
Recently, 3D printing has been widely used to fabricate medical imaging phantoms. So far, various rigid 3D printable materials have been investigated for their radiological propert…
Realistic 3D printed imaging tumor phantoms for validation of image processing algorithms
Sepideh Hatamikia, Ingo Gulyas, Wolfgang Birkfellner +11
Medical imaging phantoms are widely used for validation and verification of imaging systems and algorithms in surgical guidance and radiation oncology procedures. Especially, for t…