The Practical Challenges for Pathology: Multiple Rapidly Evolving Methods

Author:

Jasani Bharat,Huss Ralf,Taylor Clive R.

Publisher

Springer International Publishing

Reference22 articles.

1. Bogen SA. A root cause analysis into the high error rate in clinical immunohistochemistry. Appl Immunohistochem Mol Morph. 2019;27:329–38.

2. Couture H. Deep learning-based histology biomarkers: Recent advances and challenges for clinical use. Dig Pathol Assoc. 2020. Https://Digitalpathologyassociation.Org/Blog/Deep-Learning-Based-Histology-Biomarkers-Recent-Advances-And-Challenges-For-Clinical-Use

3. European Parliament. Directive 98/79/EC of the European Parliament and of the Council of 27 October 1998 on in vitro diagnostic medical devices. 1998. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:1998:331:0001:0037:EN:PDF

4. Fu Y, Jung AW, Viñas Torne R, Gonzalez S, Vohringer H, Shmatko A, Yates L, Jimenez-Linan N, Moore L, Gerstung M. Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis. Nat Cancer. 2020;11:800–10. www.nature.com/natcancer. https://doi.org/10.1038/s43018-020-0085-8.

5. Greenemeier L. Scientific American. 2017. https://www.scientificamerican.com/article/20-years-after-deep-blue-how-ai-has-advanced-since-conquering-chess/ Accessed 8 Jan 2021.

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