EXPLORING DEEP LEARNING TECHNIQUES TO OVERCOME CHALLENGES IN LIVER LESION DETECTION

In worldwide liver lesion detection uses various scans for the accurate early detection, but the early detection of liver cancer is more challenges in worldwide, because of the irregular structure, different patient details and the various irregular appearances. Moreover, our proposed deep learning have been used for various complicated problems for the early diagnosis and treatment. In our previous studies they used more algorithms but it have some difficulties in identification of the difference between the cancerous and non-cancerous. So, in this proposed research we will apply the advanced deep learning and innovative techniques for the medical images by using automatic diagnostic system. Although the segmentation is the process of splitting the affected region in to parts for the accurate diagnosis in the appearance