Abstract: A method for adapting a detection algorithm developed for usage with data generated by a first system to data generated with a second system, the algorithm for fail safe diagnosis of irregularities including a first procedure of detecting irregularities with minimal type I errors and a second procedure of filtering out type II errors; the data generated including values for selected features characterizing the irregularities; the method including applying an intermediate step of linearly transposing the values of each selected feature generated by the first procedure, prior to applying the second procedure to those values.

Abstract: A method for diagnosing malignancy of suspect regions in a 2D imaging projection of a body organ of a subject comprising the steps of: normalizing the image projection to map regions thereof onto a standard shape; extracting location of regions mapped on the standard shape and using normalized position of a suspect region to assess likelihood that it is malignant.

Abstract: An iterative method for segmentation of an object appearing in a digital image, where the object is defined by a difference in intensity from its immediate surrounding region. The method may also be used for segmenting tissue masses found in a digital image, including masses found in digital mammography.

Abstract: Method of segmenting mammography image comprising steps of: scanning along row from outermost pixel towards the breast and comparing grayscale gradient across adjacent pixels until a significant gradient is determined; confirming that variation in gradient indicates a first true boundary pixel by ascertaining gradient across subsequent pixels is still significant; iteratively repeating steps of: (i) scanning next adjacent line in vicinity of boundary pixel, and (ii) determining the boundary pixel of adjacent line by variation in grayscale intensity gradient along row (iii) until failure to find subsequent pixel occurs and (iv) attempting scanning horizontally by repeating steps (i) and (ii), and, if attempt fails, extrapolating to edge of image or to first line, ?until having determined boundary around the feature to one side of first line; repeating steps (i) to (iv) on other side of line until boundary of breast on the other side of the line is determined.

Abstract: A method for adapting a detection algorithm developed for usage with data generated by a first system to data generated with a second system, the algorithm for fail safe diagnosis of irregularities including a first procedure of detecting irregularities with minimal type I errors and a second procedure of filtering out type II errors; the data generated including values for selected features characterizing the irregularities; the method including applying an intermediate step of linearly transposing the values of each selected feature generated by the first procedure, prior to applying the second procedure to those values.

Abstract: An iterative method for clusterization of objects in a digital image is taught. Recursivity occurs in both a forward and backward direction and connection is tested using a moving reference object. An optimized set of connection laws is used. A method for optimizing the connection laws to be used is also provided.

Abstract: An iterative method for segmentation of an object appearing in a digital image, where the object is defined by a difference in intensity from its immediate surrounding region. The method may also be used for segmenting tissue masses found in a digital image, including masses found in digital mammography.

Abstract: Method of segmenting mammography image comprising steps of: scanning along row from outermost pixel towards the breast and comparing grayscale gradient across adjacent pixels until a significant gradient is determined; confirming that variation in gradient indicates a first true boundary pixel by ascertaining gradient across subsequent pixels is still significant; iteratively repeating steps of: (i) scanning next adjacent line in vicinity of boundary pixel, and (ii) determining the boundary pixel of adjacent line by variation in grayscale intensity gradient along row (iii) until failure to find subsequent pixel occurs and (iv) attempting scanning horizontally by repeating steps (i) and (ii), and, if attempt fails, extrapolating to edge of image or to first line, ?until having determined boundary around the feature to one side of first line; repeating steps (i) to (iv) on other side of line until boundary of breast on the other side of the line is determined.

Abstract: A method of separating and collating mammogram records, the method including the step of providing and scanning a separator film having identifiable features which when scanned identify the film as a separator film, thereby assisting in the separation of mammograms of different patients. A separator film for use with a mammogram workstation the film having at least one identifiable characteristic recognizable by the workstation's processing means so that the film is identified as a separator film separating mammograms of different patients. A workstation system for collating radiological film mammograms which includes a scanner which digitizes radiological film mammograms and scans a separator film carrying identifiable features for identifying the film as a separator film usable to separate mammograms of different patients.

Abstract: A method of separating and collating mammogram records, the method including the step of providing and scanning a separator film having identifiable features which when scanned identify the film as a separator film, thereby assisting in the separation of mammograms of different patients. A separator film for use with a mammogram workstation the film having at least one identifiable characteristic recognizable by the workstation's processing means so that the film is identified as a separator film separating mammograms of different patients. A workstation system for collating radiological film mammograms which includes a scanner which digitizes radiological film mammograms and scans a separator film carrying identifiable features for identifying the film as a separator film usable to separate mammograms of different patients.