Abstract: As part of neural network sensitivity analyses, base outputs of hidden layer nodes of a neural network model for non-perturbed variables can be reused when perturbing the variables. Such an arrangement greatly reduces complexity of the calculations required to generate outputs of the model. Related apparatus, systems, techniques and articles are also described.

Abstract: A computer implemented image processing method is disclosed.

Abstract: A computer implemented image processing for normalizing images is disclosed. The method comprises calculating, for each chunk of an image, a combination of the two largest contributions to the variations of color of the chunk that approximates a representation of three additive color component data elements of the each image chunk, thereby to provide a plurality of approximated image chunks.

Abstract: A computer implemented image processing method is disclosed.

Abstract: Data is received that include values that correspond to a plurality of variables. A score is then generated based on the received data and using a boosted ensemble of segmented scorecard models. The boosted ensemble of segmented scorecard models includes two or more segmented scorecard models. Subsequently, data including the score can be provided (e.g., displayed, transmitted, loaded, stored, etc.). Related apparatus, systems, techniques and articles are also described.

Abstract: A computer implemented image processing method is disclosed.

Abstract: A computer implemented image processing for normalising images is disclosed. The method comprises calculating, for each chunk of an image, a combination of the two largest contributions to the variations of colour of the chunk that approximates a representation of three additive colour component data elements of the each image chunk, thereby to provide a plurality of approximated image chunks.

Abstract: A computer implemented image processing method is disclosed.

Abstract: A computer implemented image processing method is provided for identifying a tissue boundary of a tumor region of a tissue sample, the tissue sample containing non-tumor regions and at least one tumor region. The method includes obtaining an image of a tissue section of the tissue sample, identifying at least one image property of the image, and comparing the image property with classification data. The method further includes, based on the comparison, classifying a region of the image as a tumor region representing a tumor region in the tissue sample or a non-tumor region representing a non-tumor region in the tissue sample. If the region of the image is classified as a tumor region, the method includes identifying a boundary of the region of the image, and using the boundary to identify a tissue boundary of the tumor region of the tissue sample represented by the region of the image.

Abstract: A computer implemented method is provided for determining an amount of tumor cells in a tissue sample. The method includes obtaining first image data describing an image of a tissue sample at a first resolution, obtaining second image data describing the image at a second resolution, wherein the first resolution is lower than the second resolution, selecting a candidate tumor region from the second image data based on texture data determined from the first image data, identifying a tumor structure in the candidate region of the second image data, and determining a number of cells in the tumor structure based on its area and an estimate of tumor cell area to estimate an amount of tumor cells in the tissue sample.

Abstract: As part of neural network sensitivity analyses, base outputs of hidden layer nodes of a neural network model for non-perturbed variables can be reused when perturbing the variables. Such an arrangement greatly reduces complexity of the calculations required to generate outputs of the model. Related apparatus, systems, techniques and articles are also described.

Abstract: As part of neural network sensitivity analysis, base outputs of hidden layer nodes of a neural network model for non-perturbed variables can be reused when perturbing the variables. Such an arrangement greatly reduces complexity of the calculations required to generate outputs of the model. Related apparatus, systems, techniques and articles are also described.

Abstract: Data is received that characterizes a transaction and includes a plurality of values corresponding to variables. Thereafter, a score is determined for the transaction based on the received data and using a scoring model. The scoring model only uses variables pairs having a divergence residual above a pre-defined threshold. Thereafter, data is provided that characterizes the determined score. Related apparatus, systems, techniques and computer program products are also described.

Abstract: A computer implemented method is provided for determining an amount of tumor cells in a tissue sample. The method includes obtaining first image data describing an image of a tissue sample at a first resolution, obtaining second image data describing the image at a second resolution, wherein the first resolution is lower than the second resolution, selecting a candidate tumor region from the second image data based on texture data determined from the first image data, identifying a tumor structure in the candidate region of the second image data, and determining a number of cells in the tumor structure based on its area and an estimate of tumor cell area to estimate an amount of tumor cells in the tissue sample.

Abstract: A computer implemented image processing method is provided for identifying a tissue boundary of a tumour region of a tissue sample, the tissue sample containing non-tumour regions and at least one tumour region. The method includes obtaining an image of a tissue section of the tissue sample, identifying at least one image property of the image, and comparing the image property with classification data. The method further includes, based on the comparison, classifying a region of the image as a tumour region representing a tumour region in the tissue sample or a non-tumour region representing a non-tumour region in the tissue sample. If the region of the image is classified as a tumour region, the method includes identifying a boundary of the region of the image, and using the boundary to identify a tissue boundary of the tumour region of the tissue sample represented by the region of the image.

Abstract: Data is received that include values that correspond to a plurality of variables. A score is then generated based on the received data and using a boosted ensemble of segmented scorecard models. The boosted ensemble of segmented scorecard models includes two or more segmented scorecard models. Subsequently, data including the score can be provided (e.g., displayed, transmitted, loaded, stored, etc.). Related apparatus, systems, techniques and articles are also described.

Abstract: As part of neural network sensitivity analysis, base outputs of hidden layer nodes of a neural network model for non-perturbed variables can be reused when perturbing the variables. Such an arrangement greatly reduces complexity of the calculations required to generate outputs of the model. Related apparatus, systems, techniques and articles are also described.

Abstract: Data is received that characterizes a transaction and includes a plurality of values corresponding to variables. Thereafter, a score is determined for the transaction based on the received data and using a scoring model. The scoring model only uses variables pairs having a divergence residual above a pre-defined threshold. Thereafter, data is provided that characterizes the determined score. Related apparatus, systems, techniques and computer program products are also described.

Abstract: A grabbing device includes a transparent flexible cup that can be placed adjacent to a selected region of an inner surface of a body cavity. The flexible cup is visually put in place by the surgeon, and a vacuum is applied to draw a selected amount of tissue into the flexible cup, so that it may, e.g., be excised. The device may also retrieve the tissue excised from the body cavity.

Abstract: A grabbing device includes a transparent flexible cup that can be placed adjacent to a selected region of an inner surface of a body cavity. The flexible cup is visually put in place by the surgeon, and a vacuum is applied to draw a selected amount of tissue into the flexible cup, so that it may, e.g., be excised. The device may also retrieve the tissue excised from the body cavity.