Speakers: Joachim Schmid and Mehrnoush Khojasteh
Abstract: Field of digital pathology is developing fast, with many groups investing to develop algorithms for use in diagnosing cancer. At Roche, we use machine learning and other techniques in solving image analysis problems today, and have invested in developing algorithms to enable quantitation and advanced tissue analytics through the use of digital images.
This talk will review current clinical applications in digital pathology, and how image analysis algorithms can provide medical value using brightfield or darkfield applications. The total solution from staining to analysis is critical to ensure the success of algorithm applications. Further trends in image analysis will be discussed.