In the world of medical imaging, achieving accurate imaging diagnoses is critical to the success of patient treatment. Imaging diagnostics through medical research. With technological advancements, the use of images in healthcare has increased quickly, and medical imaging has become more sophisticated and accurate, enabling doctors to detect and diagnose diseases more accurately. The complexity and sparsity of the data still pose a challenge to the precise classification and analysis of these images. In this report we will discuss the medical image classification for small datasets, existing approaches, and challenges.

Каяли И. (науч. рук. Гусарова Н.Ф.) MEDICAL IMAGES CLASSIFICATION FOR SMALL DATASETS EXISTING APPROACHES AND CHALLENGES // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2023]. URL: https://kmu.itmo.ru/digests/article/10081