34. A method comprising: specifying a class network having a class, wherein a membership function defines whether an object of a data network belongs to the class; specifying a process step having a domain and an algorithm, wherein the domain designates the class, and wherein the process step is part of a process hierarchy; receiving pixel values obtained from a digital image; receiving metadata relating to the digital image; and executing the class network and the process hierarchy on a computer that implements the data network by selectively linking a plurality of objects to the pixel values and to the metadata according to the class network and the process hierarchy, wherein the process step is linked to the metadata.
34. A method comprising: specifying a class network having a class, wherein a membership function defines whether an object of a data network belongs to the class; specifying a process step having a domain and an algorithm, wherein the domain designates the class, and wherein the process step is part of a process hierarchy; receiving pixel values obtained from a digital image; receiving metadata relating to the digital image; and executing the class network and the process hierarchy on a computer that implements the data network by selectively linking a plurality of objects to the pixel values and to the metadata according to the class network and the process hierarchy, wherein the process step is linked to the metadata. 38. The method of claim 34 , wherein the digital image depicts a breast of a woman having an age, a weight, a height, blood values, prescribed medications, a number of children, a family history of ailments, a history of breastfeeding, and a history of smoking, and wherein the metadata is taken from the group consisting of: the age, the weight, the height, the blood values, the prescribed medications, the number of children, the family history of ailments, the history of breastfeeding, and the history of smoking.