Quality of Life of Patients Operated on for Peptic Ulcer of the Stomach and Duodenum

Abstrak

The article discusses the creation of algorithms for the intellectualization of the digital processing of images, which is becoming increasingly important in many areas, including medicine, security, and industry. The authors highlight the need to develop new algorithms to improve the efficiency and accuracy of image processing. They propose the use of artificial intelligence techniques, such as machine learning and computer vision, to enhance image processing capabilities. Presents a detailed analysis of existing algorithms and their limitations, as well as a discussion of the proposed algorithm for the intellectualization of image processing. The algorithm is based on the principles of artificial intelligence and uses machine learning techniques to improve the accuracy of image processing. The authors provide examples of its successful application in the areas of medical diagnosis and industrial defect detection. The article concludes by highlighting the potential benefits of intellectualization of image processing, including increased accuracy, reduced processing time, and improved decision-making. The authors emphasize the importance of further research and development in this field to enhance the capabilities of image processing algorithms and their applications in various industries. Overall, the article provides valuable insights into the use of artificial intelligence techniques in image processing and highlights the potential for future advancements in this field.

Kata Kunci