Abstract: There is provided a method of computing at least one slide-level tissue type for a tissue image of tissue extracted from a patient, comprising: receiving a tissue image of a slide including tissue extracted from the patient, segmenting tissue objects of the tissue image, creating a tissue image patches from the segmented tissue objects of the tissue image, classifying, by a patch-level classifier, each of the plurality of tissue image patches into at least one patch-level tissue type, wherein each of the classified tissue image patches is associated with a relative location within the tissue image, analyzing, by a slide-level analysis code, the classified at least one patch-level tissue type and associated relative location for each of the plurality of tissue image patches outputted by the patch-level classifier, for computing at least one slide-level tissue type for the tissue image, and providing the at least one slide-level tissue type.

Abstract: There is provided a method of computing at least one slide-level tissue type for a tissue image of tissue extracted from a patient, comprising: receiving a tissue image of a slide including tissue extracted from the patient, segmenting tissue objects of the tissue image, creating a tissue image patches from the segmented tissue objects of the tissue image, classifying, by a patch-level classifier, each of the plurality of tissue image patches into at least one patch-level tissue type, wherein each of the classified tissue image patches is associated with a relative location within the tissue image, analyzing, by a slide-level analysis code, the classified at least one patch-level tissue type and associated relative location for each of the plurality of tissue image patches outputted by the patch-level classifier, for computing at least one slide-level tissue type for the tissue image, and providing the at least one slide-level tissue type.

Abstract: There is provided a method of computing at least one slide-level tissue type for a tissue image of tissue extracted from a patient, comprising: receiving a tissue image of a slide including tissue extracted from the patient, segmenting tissue objects of the tissue image, creating a tissue image patches from the segmented tissue objects of the tissue image, classifying, by a patch-level classifier, each of the plurality of tissue image patches into at least one patch-level tissue type, wherein each of the classified tissue image patches is associated with a relative location within the tissue image, analyzing, by a slide-level analysis code, the classified at least one patch-level tissue type and associated relative location for each of the plurality of tissue image patches outputted by the patch-level classifier, for computing at least one slide-level tissue type for the tissue image, and providing the at least one slide-level tissue type.

Abstract: There is provided a method of computing at least one slide-level tissue type for a tissue image of tissue extracted from a patient, comprising: receiving a tissue image of a slide including tissue extracted from the patient, segmenting tissue objects of the tissue image, creating a tissue image patches from the segmented tissue objects of the tissue image, classifying, by a patch-level classifier, each of the plurality of tissue image patches into at least one patch-level tissue type, wherein each of the classified tissue image patches is associated with a relative location within the tissue image, analyzing, by a slide-level analysis code, the classified at least one patch-level tissue type and associated relative location for each of the plurality of tissue image patches outputted by the patch-level classifier, for computing at least one slide-level tissue type for the tissue image, and providing the at least one slide-level tissue type.