Abstract: A method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of the organ or tissue is provided. In particular, the organ or tissue is a liver organ or liver tissue. The method includes the calculation of a score that combines descriptors of the image, and includes the steps of: a) measuring on the image at least two descriptors of the image, b) mathematically combining the descriptors in a score; and c) assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step b).

Abstract: Method for providing a reliable non-invasive diagnostic test of the presence and/or severity of a disease, and associated software and expert system includes: a. collecting a diagnostic index, called Initial Index, preferably a score, b. calculating the Dispersion Index of the collected Initial Index, c. analyzing the reliability of each data by identifying if at least one data of index collected in step a) is an abnormal, inconsistent and/or a non-homogeneous data, or is responsible for a greater decrease in the Dispersion Index than that observed with other data, d. if a data is an abnormal, inconsistent and/or non-homogeneous data, or a data lowering a Dispersion Index, generating an Event Alert, e. if an Event Alert is generated, calculating new indexes, f. replacing the Initial Index including an abnormal, inconsistent and/or non-homogeneous data or a data affecting the Dispersion Index, with an Alternative, Estimated or a Mixed Index.

Abstract: A method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of the organ or tissue is provided. In particular, the organ or tissue is a liver organ or liver tissue. The method includes the calculation of a score that combines descriptors of the image, and includes the steps of: a) measuring on the image at least two descriptors of the image, b) mathematically combining the descriptors in a score; and c) assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step b).

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: Method for providing a reliable non-invasive diagnostic test of the presence and/or severity of a disease, and associated software and expert system includes: a. collecting a diagnostic index, called Initial Index, preferably a score, b. calculating the Dispersion Index of the collected Initial Index, c. analyzing the reliability of each data by identifying if at least one data of index collected in step a) is an abnormal, inconsistent and/or a non-homogeneous data, or is responsible for a greater decrease in the Dispersion Index than that observed with other data, d. if a data is an abnormal, inconsistent and/or non-homogeneous data, or a data lowering a Dispersion Index, generating an Event Alert, e. if an Event Alert is generated, calculating new indexes, f. replacing the Initial Index including an abnormal, inconsistent and/or non-homogeneous data or a data affecting the Dispersion Index, with an Alternative, Estimated or a Mixed Index.