Clinical Decision System to Identify Histogenesis in cases of Carcinoma with Unknown Primary
CUP Prediction !
Carcinoma of unknown primary (CUP) prediction could be achieved in three ways
Knowledge based prediction utilizes image parameters and remarks given by pathologist to classify a new histology image to specific primary category. It ascertains pathologist expertise is optimally used by the search engine for classification of an histology image. The tool requires input of values by clinicians for primary prediction.
Machine learning model based prediction uses best prediction models developed through various algorithms (support vector machine, random forest and artificial neural network etc. ). The tool requires uploading a histology image as input. The tool performs digital image processing as well as classification.
Integrated prediction classifies new images based on both tools. User has to upload an histology image as input.