Exact(4)
Iterative Scopes Iterative Scopes uses machine learning and real-time computer detection tools to help doctors spot signs of colon cancer.
This enabled automatic computer detection and measurement of immunopositive features.
These 6 cases were used to validate automatic detection and to analyze inter-analyst variability, so as to provide a benchmark for computer detection accuracy.
Table 2 summarizes the results.> All 20 cases were used in a study of the influence of the proposed computer detection and classification of FL tissues on pathologist accuracy.
Similar(56)
Experimental results showed that automated computer-detection of lesions in pulmonary infections through our proposed computational pipeline is efficient and accurate relative to the manual approaches and thereby increases reproducibility of automated quantification of disease immunopathology in small animal models.
The specific elaborated computerized techniques are computer-aided detection, computer-aided diagnosis, and automatic semantic mapping.
To the best of our knowledge, for the first time, we measure the effect of computer-detection on the decisions of experts and inexperienced readers in grading follicular lymphoma.
In this regard, computer-aided detection and computer-aided diagnosis systems have been designed to help radiologists in their clinical practice.
Single reading with computer aided detection (CAD) is an alternative to double reading for detecting cancer in screening mammograms.
Computer intrusion detection is concerned with designing alarm systems to prevent break-ins.
Computer aided detection (CAD) techniques can increase sensitivity and reduce false positives.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com