Performance of Deep-Learning Solutions on Lung Nodule Malignancy Classification: A Systematic Review.
Hailun LiangMeili HuYuxin MaLei YangJie ChenLiwei LouChen ChenYuan XiaoPublished in: Life (Basel, Switzerland) (2023)
It is a thorough analysis of the most recent advancements in lung nodule deep-learning technologies. The advancement of image processing techniques, traditional machine learning techniques, deep-learning techniques, and other techniques have all been applied to the technology for pulmonary nodule diagnosis. Although the deep-learning model has demonstrated distinct advantages in the detection of pulmonary nodules, it also carries significant drawbacks that warrant additional research.