Digital pathology: current status and future perspectives
By S. Al-Janabi, A. Huisman, P. V. van Diest. Histopathology, 2012
364 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/248c9d625f5d660e8c6d156bc0fae43ec37a081d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Heimo Müller
- Kurt Zatloukal
- Bernd Malle
- Andreas Holzinger
- Robert Reihs
- Peter Kieseberg
- Peter M. Roth
- Longo Luca
In Biophysics
In Computer Vision and Pattern Recognition
- Andreas Holzinger
- Kurt Zatloukal
- Peter M. Roth
- Peter Kieseberg
- Heimo Müller
- Robert Reihs
- Bernd Malle
- Xiaogang Wang
Citations in the corpus
- Future challenges in cephalopod research* (2014, background): “In addition, robotic microscopy systems developed for applications in pathology permit rapid digitization of histological sections on a large scale and at high resolutions (Al-Janabi et al., 2012).”
- Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology (2017, background): “…a pathologist on a computer screen (virtual microscope) comparable to the conventional microscope and can be used for education and training, diagnostics (clinico-pathological meetings, consultations, revisions, slide panels and upfront clinical diagnostics) and archiving (Al-Janabi et al., 2012).”