Interactive decision support system for lung cancer segmentation

Sydorskyi, V.

Interactive decision support system for lung cancer segmentation

Файли

68-81.pdf (352.54 KB)

Дата

2024

Автори

Sydorskyi, V.

Видавець

КПІ ім. Ігоря Сікорського

Анотація

This paper studies Clinical Intelligent Decision Support Systems (CIDSSs) for lung cancer segmentation, which are based on deep neural nets. A new interactive CIDSS is proposed and compared with previous approaches. Additionally, the purpose uncertainty problem in building interactive systems is discussed, and criteria for measuring both quality and amount of user feedback are proposed. In order to automate system evaluation, a new algorithm was used to simulate expert feedback. The proposed interactive CIDSS outperforms previous approaches (both interactive and noninteractive) on the task of lung lesion segmentation. This approach looks promising both in terms of quality and expert user experience. At the same time, this paper discusses a bunch of possible modifications that can be done to improve both evaluation criteria and proposed CIDSS in future works.

Ключові слова

clinical decision support systems, deep learning, open system, interactive segmentation, клінічні системи підтримання прийняття рішень, глибинне навчання, відкрита система, інтерактивна сегментація

Бібліографічний опис

Sydorskyi, V. Interactive decision support system for lung cancer segmentation / Sydorskyi V. // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2024. – № 1. – С. 68-81. – Бібліогр.: 31 назв.