Original contributionHistological grading of breast carcinomas: A study of interobserver agreement
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2022, Pathology Research and PracticeCitation Excerpt :Following a Dutch nationwide study documenting relevant inter- and intradepartmental variations in the distribution of histological grades [38], both anonymized specific feedback to the laboratories and pathologists [39] and e-learning [40] have helped to decrease this variation. Not least, optimal tissue preservation is also required for adequate grading, better fixation has been documented to result in better grading consistency [22]. When looking at national databases or greater cohorts of patients, it also appears that the frequency of a given grade may be different.
Automated detection and grading of Invasive Ductal Carcinoma breast cancer using ensemble of deep learning models
2021, Computers in Biology and MedicineCitation Excerpt :During the examination, pathologists grade the cancer stage depending on the severity of the tumor cells which is a crucial step before prognosis. However, both the detection and grading of IDC are tedious and laborious tasks and these often contribute to inter-observer and intra-observer heterogeneity during diagnosis [14,26]. Therefore, CAD-based systems can assist pathologists to detect abnormal cells and make the whole process much easier and faster.
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Dr Robbins is supported by the Prindiville Family Scholarship.