Tissue Phenomics Blog

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Topics:  image analysis, big data, digital pathology, machine learning, deep learning

Machine Learning in Digital Pathology: A Journey from Handcrafted Feature Descriptors to Deep Learning Approaches

Apr 3, 2017 5:00:00 AM

As outlined in the recent blog article by Dr. Ralf Huss, CMO of Definiens, we believe in big data and machine learning to significantly influence decision making in medicine. Already in digital histopathology, machine learning is a key component, for example, for the detection of regions of interest (e.g., tumor metastasis regions, stroma regions) or for the detection, segmentation and classification of objects of interest (e.g., nuclei, cells, mitosis, glomeruli and glands). The use of machine learning in digital pathology is motivated by the complexity and variety of the problems, and it has been enabled only recently by the availability of large amounts of raw data (e.g., the public TCGA database from the NIH) and of efficient algorithms or increased computing power. However, while big data is getting even bigger by the minute, we cannot accept algorithms without a medical plausibility check and robust clinical validation.

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Topics:  big data, artificial intelligence, machine learning

AI Makes Good Doctors Even Better Doctors

Mar 6, 2017 8:00:00 AM

Highly-paid doctors will not be obsolete and radiologists or anatomical pathologists will not be obsolete in the age of AI in medical practice. In a recent New England Journal of Medicine Paper (http://www.nejm.org/doi/full/10.1056/NEJMp1606181) Drs. Obermeyer and Emanuel (1) rightly suggest that big data will transform daily medical practice and computer-based algorithms will guide clinical decision making.

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