Abstract: A method and system for evaluating prostate cancer needle biopsy images for cancer using the nuclei information. The various embodiments of the present invention include the different methods which could be used distinctly or in unification to automatically diagnose, classify, and report the results for the prostate cancer needle biopsy images. Different feature sets are targeted for distinct methods and system, for instance, structural, textural, and geometrical features are utilized for cancer detection, morphological features for Gleason scoring. The invention provides a system to generate the cancer aggressive maps for the whole slide needle biopsy images to help detect the malignancy of prostate cancer. The invention provides the system to perform N-scoring on the prostate cancer tissue samples. The invention also provides the system to generate pathology report automatically.