Machine Learning Radiomics Signature for Differentiating Lymphoma versus Benign Splenomegaly on CT.

Jih-An Cheng Yu-Chun Lin Yenpo Lin Ren-Chin WuHsin-Ying LuLan-Yan YangHsin-Ju ChiangYu-Hsiang JuanYing-Chieh Lai Gigin Lin

Published in: Diagnostics (Basel, Switzerland) (2023)

CT-based radiomics signature can be useful in distinguishing lymphoma versus benign splenomegaly and can reflect the changes in underlying blood profiles.

Keyphrases

contrast enhanced
machine learning
magnetic resonance imaging
computed tomography
diffuse large b cell lymphoma
image quality
dual energy
magnetic resonance
lymph node metastasis
squamous cell carcinoma
artificial intelligence
deep learning
big data
pet ct