Data-driven decision-making for precision diagnosis of digestive diseases

S Jiang, T Wang, KH Zhang - BioMedical Engineering Online, 2023 - Springer
Modern omics technologies can generate massive amounts of biomedical data, providing
unprecedented opportunities for individualized precision medicine. However, traditional …

Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets

HM Rai, J Yoo, SA Moqurrab, S Dashkevych - Measurement, 2023 - Elsevier
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …

[HTML][HTML] CT-based radiomics for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis

L Liu, H Liao, Y Zhao, J Yin, C Wang, L Duan… - Frontiers in …, 2024 - frontiersin.org
Objective We aimed to evaluate the diagnostic effectiveness of computed tomography (CT)-
based radiomics for predicting lymph node metastasis (LNM) in patients diagnosed with …

Consensus Clustering Analysis Based on Enhanced-CT Radiomic Features: Esophageal Squamous Cell Carcinoma patients'3-Year Progression-Free Survival

J Jia, Z Liu, F Wang, G Bai - Academic Radiology, 2024 - Elsevier
Rationale and Objectives To assess the efficacy of consensus cluster analysis based on CT
radiomics in stratifying risk and predicting postoperative progression-free survival (PFS) in …