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ON THE PROBLEM OF VALIDATING COMPUTER ASSISTED MEDICAL IMAGE INTERPRETATION
1997Hinging on approaches from the fields of clinical imaging and information technology assessment in medicine, a validation scheme is presented for 3-D biomedical image interpretation. This scheme considers measurement of algorithmic accuracy and evaluation of clinical functionality and usefulness.
Van Cleynenbreugel Johan +5 more
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[Computer-assisted diagnosis based on computer-based image interpretation and 3D-visualization].
Der Radiologe, 1998To survey methods for 3D data visualization and image analysis which can be used for computer based diagnostics.The methods available are explained in short terms and links to the literature are presented. Methods which allow basic manipulation of 3D data are windowing, rotation and clipping.
D, Schuhmann +7 more
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Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 1992
Measurement of nuclear and glandular size and shape features was carried out on 18 cases of sclerosing adenosis and 18 cases of tubular carcinoma. Modified Bonferroni analysis showed that glandular surface density and the coefficient of variation of luminal form factor were significant in discriminating between these two lesions.
T J, O'Leary, U V, Mikel, R L, Becker
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Measurement of nuclear and glandular size and shape features was carried out on 18 cases of sclerosing adenosis and 18 cases of tubular carcinoma. Modified Bonferroni analysis showed that glandular surface density and the coefficient of variation of luminal form factor were significant in discriminating between these two lesions.
T J, O'Leary, U V, Mikel, R L, Becker
openaire +1 more source
422 Computer-Assisted Image Interpretation of Volumetric Laser Endomicroscopy in Barrett's Esophagus
Gastroenterology, 2015Eladio Rodriguez-Diaz, Satish K. Singh
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Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
exaly
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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Ultrafast machine vision with 2D material neural network image sensors
Nature, 2020Lukas Mennel +2 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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