Abstract: A method for generating map information includes: a thinned patient image generating step of generating thinned patient image information in which coordinate information of brain blood vessels of a patient having a cerebral aneurysm and coordinate information of cerebral aneurysms are associated with each other, and the brain blood vessels are thinned; a coordinate associating step of associating coordinates of thinned blood vessels represented by the thinned patient image with reference coordinates of brain blood vessels represented by a thinned reference image in which the brain blood vessels are thinned; and a map information generating step of generating probabilistic map information representing probabilities of occurrence in the coordinates of cerebral aneurysms with respect to the reference coordinates on the basis of the coordinates of the brain blood vessels associated in the coordinate associating step for the thinned patient image information of a plurality of patients having cerebral aneurysms and

Abstract: A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values.

Abstract: A method, system, and computer program product for determining existence of an abnormality in a medical image, including (1) obtaining volume image data corresponding to the medical image; (2) filtering the volume image data using an enhancement filter to produce a filtered image in which a predetermined pattern is enhanced; (3) detecting, in the filtered image, a first plurality of abnormality candidates using multiple gray-level thresholding; (4) grouping, based on size and local structures, the first plurality of abnormality candidates into a plurality of abnormality classes; (5) removing false positive candidates from each abnormality class based on class-specific image features to produce a second plurality of abnormality candidates; and (6) applying the at least one abnormality to a classifier and classifying each candidate in the second plurality of abnormality candidates as a false positive candidate or an abnormality.

Abstract: A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values.

Abstract: A method, system and computer readable medium for a computer-automated method for identifying given image data, including obtaining template image data corresponding to said given image data; calculating correlation values between the given image data and said template image data; and identifying said image data based on the correlation values calculated in the calculating step.

Abstract: A (poly)oxyalkylene block silyl ester copolymer comprising silyl ester copolymer block units (A) and block units (B), the block units (a) comprising (a) component units derived from a polymerizable unsaturated carboxylic acid silyl ester, and (b) polymerizable unsaturated monomer units other than the component units (a), the block units (B) derived from particular mercapto compounds, and an antifouling paint comprising the (poly)oxyalkylene block silyl ester copolymer. The copolymer enables the formation of an antifouling coating film which exhibits less cracking tendency, excellent adherence, less peeling tendency and controlled hydrolysis rate resulting in excellent antifouling performance and properties.

Abstract: A (poly)oxyalkylene block silyl ester copolymer comprising silyl ester copolymer block units (A) and block units (B), the silyl ester copolymer block units (A) comprising (a) component units derived from a polymerizable unsaturated carboxylic acid silyl ester, and (b) polymerizable unsaturated monomer units other than the component units (a), the block units (B) derived from a mercapto compound represented by the following formula (1) or (2), and further an antifouling paint comprising the (poly)oxyalkylene block silyl ester copolymer.

Abstract: Disclosed is a silyl (meth)acrylate copolymer which comprises 20 to 80% by weight of (a) silyl (meth)acrylate constituent units (I), 0.01 to 40% by weight of (b) acrylic unsaturated monomer constituent units (II) and 5 to 79.9% by weight of Ĉ unsaturated monomer constituent units other than the constituent units (a) and (b). Also disclosed is a process for preparing the silyl (meth)acrylate copolymer, an antifouling paint composition comprising the copolymer, a coating film formed from the paint composition, a hull with the coating film and an antifouling method using the paint composition.

Abstract: A method, system and computer readable medium for a computer-automated method for identifying given image data, including obtaining template image data corresponding to said given image data; calculating correlation values between the given image data and said template image data; and identifying said image data based on the correlation values calculated in the calculating step.