A computer system for generating and displaying a customizable summary image of target lesions for use in determining and evaluating an objective tumor response to anti-cancer therapy in accordance with tumor response criteria which comprise standards for determining and evaluating the objective tumor response, the computing system comprising: one or more processors; and one or more computer-readable hardware storage devices, wherein the one or more computer-readable hardware storage devices comprise computer-executable instructions that, when executed by at least one of the one or more processors, cause the computer system to perform at least the following: receive a first user input selecting a first target lesion from one or more cross-sectional images of digital medical image data associated with a patient captured at a first point in time; receive a second user input labeling the first target lesion with a lesion type comprising a primary tumor, a metastasis, or a lymph node; receive a third user input labeling the first target lesion with a preset label for an anatomical location corresponding to the first target lesion; segment the target lesion into a region of interest; provide computer input using one or more tumor response criteria, that prompts a user to modify or delete the region of interest; receive user adjustments of the region of interest to accommodate the computer input; modify or delete the region of interest according to the user adjustments; receive one or more additional user input(s) selecting one or more additional target lesions from one or more cross-sectional images of digital medical image data associated with the patient and captured at the first point in time until a total number of target lesions are selected in accordance with a default or user-selected tumor response criterion included in the tumor response criteria; and display a customizable summary image of the first target lesion and the one or more additional target lesions, wherein the customizable summary image comprises the one or more lesion metrics for the identified target lesions. one or more processors; and one or more computer-readable hardware storage devices, wherein the one or more computer-readable hardware storage devices comprise computer-executable instructions that, when executed by at least one of the one or more processors, cause the computer system to perform at least the following: receive a first user input selecting a first target lesion from one or more cross-sectional images of digital medical image data associated with a patient captured at a first point in time; receive a second user input labeling the first target lesion with a lesion type comprising a primary tumor, a metastasis, or a lymph node; receive a third user input labeling the first target lesion with a preset label for an anatomical location corresponding to the first target lesion; segment the target lesion into a region of interest; provide computer input using one or more tumor response criteria, that prompts a user to modify or delete the region of interest; receive user adjustments of the region of interest to accommodate the computer input; modify or delete the region of interest according to the user adjustments; receive one or more additional user input(s) selecting one or more additional target lesions from one or more cross-sectional images of digital medical image data associated with the patient and captured at the first point in time until a total number of target lesions are selected in accordance with a default or user-selected tumor response criterion included in the tumor response criteria; and display a customizable summary image of the first target lesion and the one or more additional target lesions, wherein the customizable summary image comprises the one or more lesion metrics for the identified target lesions. receive a first user input selecting a first target lesion from one or more cross-sectional images of digital medical image data associated with a patient captured at a first point in time; receive a second user input labeling the first target lesion with a lesion type comprising a primary tumor, a metastasis, or a lymph node; receive a third user input labeling the first target lesion with a preset label for an anatomical location corresponding to the first target lesion; segment the target lesion into a region of interest; provide computer input using one or more tumor response criteria, that prompts a user to modify or delete the region of interest; receive user adjustments of the region of interest to accommodate the computer input; modify or delete the region of interest according to the user adjustments; receive one or more additional user input(s) selecting one or more additional target lesions from one or more cross-sectional images of digital medical image data associated with the patient and captured at the first point in time until a total number of target lesions are selected in accordance with a default or user-selected tumor response criterion included in the tumor response criteria; and display a customizable summary image of the first target lesion and the one or more additional target lesions, wherein the customizable summary image comprises the one or more lesion metrics for the identified target lesions.