Year: 2024
Type: article
Abstract: Cancer is among serious health problems with an uncertain and complex structure that causes fatal results. Cancer is a disease that consists of uncontrolled proliferation of cells in different organs, whose clinical appearance, treatment and approach are different from each other and that should be controlled in the early stages. The cancer burden should be estimated in order to determine priorities for cancer control. In this context, there are many studies on diagnosis and treatment methods and a rapid development is observed in this regard. The aim is to increase the survival rate of people with cancer. In order to achieve this goal effectively, early and accurate diagnosis is especially important in the treatment of cancer, as it causes fatal results. It is known that cancer is very difficult to diagnose in the early stages and accurately with traditional diagnostic methods. At this point, the artificial intelligence, a new or current approach, comes to the agenda. Developments in this area offer very important opportunities in cancer diagnosis as in many areas. Therefore, in this study, deep learning approaches which are an artificial intelligence technique in the literature for the diagnosis of cancer disease are examined, and the applications in the literature on how these approaches are used are included. Since the subject of the study is up to date, it is considered that the study will be a guide for people or institutions working in this field.
Author: Soumyadip Mukherjee
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405890039