Histological image analysis
AssigneeOslo Universitetssykehus
InventorsSepp De RAEDT, Ole-Johan SKREDE, Håvard Emil Greger DANIELSEN, Tarjei Sveinsgjerd HVEEM, Andreas KLEPPE, Knut LIESTØL
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AssigneeOslo Universitetssykehus
InventorsSepp De RAEDT, Ole-Johan SKREDE, Håvard Emil Greger DANIELSEN, Tarjei Sveinsgjerd HVEEM, Andreas KLEPPE, Knut LIESTØL
Estimating the term…
A computer implemented system for determining an overall-classifier for one or more source-histological-images. The system comprising: a first tile generator (204) configured to generate a plurality of first-tiles (206; 306) from the one or more source-histological-image (202; 302); and a second tile generator (205) configured to generate a plurality of second-tiles (207; 307) from the one or more source-histological-images (202; 302). The first-area of the first-tiles (206; 306) is larger than the second-area of the second-tiles (207; 307); and the second-resolution of the second-tiles (207; 307) is higher than the first-resolution of the first-tiles (206; 306). The system also includes a machine-learning network (211; 311) configured to process the plurality of first-tiles (206; 306) in order to determine a first-classifier (218; 318); a machine-learning network (215; 311) configured to process the plurality of second-tiles (207; 307) in order to determine a second-classifier (219; 319); and a classifier combiner configured to combine the first-classifier (218; 318) and the second-classifier (219; 319) to determine the overall-classifier (232; 332).
A computer implemented system for determining a classifier of one or more source-histopathological-images, the system comprising:
A computer implemented method of determining for a classifier of one or more source-histopathological images, the method comprising:
Dependencies are inferred from the claim text.