Machine learning-based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis.

Yuan LiBaihan LyuRong WangYue PengHaoyu RanBolun ZhouYang LiuGuangyu BaiQilin HuaiXiaowei ChenChun ZengQingchen WuCheng ZhangShugeng Gao

Published in: Thoracic cancer (2024)

The present study established a machine learning-based radiomics strategy for differentiating LUAD from TB lesions. The ROI segmentation including or excluding the cavity region may exert no significant effect on the predictive ability.

Keyphrases

machine learning
mycobacterium tuberculosis
contrast enhanced
deep learning
lymph node metastasis
artificial intelligence
big data
pulmonary hypertension
computed tomography