AIMC Topic: Pathology
Clear Filters Showing 101 to 105 of 105 articles
Digital pathology and artificial intelligence.
The Lancet. Oncology
May 1, 2019
In modern clinical practice, digital pathology has a crucial role and is increasingly a technological requirement in the scientific laboratory environment. The advent of whole-slide imaging, availability of faster networks, and cheaper storage soluti...
[Artificial intelligence in Pathological Anatomy].
Revista espanola de patologia : publicacion oficial de la Sociedad Espanola de Anatomia Patologica y de la Sociedad Espanola de Citologia
Jan 1, 2019
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches.
Studies in health technology and informatics
Jan 1, 2015
Automated detection methods can address delays and incompleteness in cancer case reporting. Existing automated efforts are largely dependent on complex dictionaries and coded data. Using a gold standard of manually reviewed pathology reports, we eval...
Automated Classification of Pathology Reports.
Studies in health technology and informatics
Jan 1, 2015
This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the International Classification of Diseases for Oncology (ICD-O). Data from 94,980 patients of the A.C...
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