Abstract: An example embodiment involves generating tumor image tiles from images of human papillomavirus positive (HPV +) head and neck squamous cell carcinoma (HNSCC) tumors, wherein the tumor image files are respectively labelled with indicators of tumor recurrence. The example embodiment may further involve training a neural network with the tumor image files as labelled. wherein the training results in the neural network learning combinations of histology features characteristic of tumor recurrence. Further steps may involve providing further tumor image tiles to the trained neural network. the neural network generating classifications of the further tumor image tiles based on likelihood of tumor recurrence. and storing the classifications with as respectively associated with the further tumor image tiles.

Abstract: The system and method of the present invention provides consumers with credit information including information which can help the consumer evaluate the consumer's credit report or credit worthiness. The present invention can also provide consumers with suggestions to help consumers better their credit rating. The system and method of the present invention also provide consumers with pre-approved credit offers from a consumer-selected group of merchants, where the consumers are anonymous to the merchants, and the merchants do not receive copies of the consumer's credit report. Additional functions of the present invention include allowing users to opt-out or opt-into solicitation lists, and enabling users to automatically monitor their credit report. The present invention offers these services through a third party agent of the consumer which can be accessible to the consumer via the Internet.