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Digital Pathology

Deep Learning in Digital Pathology

“Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you provide, the better it is” – Geoffrey Hinton (Google)

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Selecting the Right Digital Pathology System – Anil Parwani

Anil Parwani, Director of Pathology Informatics and Digital Pathology at Ohio State University, gives us an insight on selecting the right digital pathology system and the issues with the current systems.

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Digital Pathology Goes Mobile

Medical Applications on Smartphones

Mobile technology could act as a radical stimulus in aiding digital pathology on to a totally new level in remitting and delivering clinical diagnostics.

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Tele-Consultation Systems for Today’s Pathologists

Pathology is dealing with an area of diagnostics that is extremely variable. General pathologists are able to diagnose virtually any disease, but in rare or complex cases it is common practice to consult an expert.

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Artificial Intelligence – Influencing The Clinical Practice Of Pathologists

Artificial intelligence based applications are quickly improving and they are expected to be a game changer in many fields, including transportation and medicine.

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The Best of Digital Pathology in 2017

It is that time of the year to celebrate the most significant breakthroughs and accomplishments in the field of digital pathology. 2017 has been an exciting year with Philips receiving FDA approval to market their IntelliSite Pathology Solution for primary diagnostic use in the US. 

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From Validation to Practice: Transforming Pathology with Aperio Solutions

Pathology Departments today are faced with many challenges in regards to effectively handling their workflow. More pathologists and technologists are retiring, while demand for specialist pathologists is increasing. Hospital laboratories are being forced to consolidate services and are seeking tools that can help them effectively provide more services without impacting on patient treatment.

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Open Digital Pathology – Principles and Limitations

Open science paradigm promotes open, reproducible science through the sharing of all research processes, data, material and methods. Here, Raphaël Marée from Cytomine Scientific, discusses his thoughts on open digital pathology.

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