Diagnosis of Rectal Cancer through Images

Computer-aided decision support system has become one of the major research topics in medical imaging field during the past two decades to detect cancers. Detecting and screening of colorectal cancers are done by a Computed Tomography. The implemented algorithm determines the locations and features of glands which are affected by cancer tissues and save this information for the subsequent diagnosis. The proposed algorithm carries out the diagnosis with two modules: gland detection and nuclei detection. Gland detection is performed in the proposed algorithm using color segmentation either through HSV or LAB transformation. Hence to remove the miss detected glands the algorithm proceed for the second module referred as nuclei detection. To provide the execution in low-end clients, the whole image is cracked into smaller tiles and after the processing of each individual tiles, the results are to be merged to get back the original size. After nuclei detection if the number of nucleus is more that glands are miss detected glands and they are removed.