Radiomics-clinical nomogram for preoperative lymph node metastasis prediction in esophageal carcinoma
X Geng, Y Zhang, Y Li, Y Cai, J Liu… - British Journal of …, 2024 - academic.oup.com
Objectives This research aimed to develop a radiomics-clinical nomogram based on
enhanced thin-section CT radiomics and clinical features for the purpose of predicting the …
enhanced thin-section CT radiomics and clinical features for the purpose of predicting the …
Establishment and validation of a nomogram to predict cancer-specific survival in pediatric neuroblastoma patients
W Chen, P Lin, J Bai, Y Fang, B Zhang - Frontiers in Pediatrics, 2023 - frontiersin.org
Background The term “neuroblastoma (NB)” refers to a type of solid pediatric tumor that
develops from undivided neuronal cells. According to the American Cancer Society report …
develops from undivided neuronal cells. According to the American Cancer Society report …
[HTML][HTML] Acute hematologic toxicity prediction using dosimetric and radiomics features in patients with cervical cancer: does the treatment regimen matter?
H Yue, X Li, J You, P Feng, Y Du, R Wang… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Background Acute hematologic toxicity (HT) is a prevalent adverse tissue reaction observed
in cervical cancer patients undergoing chemoradiotherapy (CRT), which may lead to various …
in cervical cancer patients undergoing chemoradiotherapy (CRT), which may lead to various …
[HTML][HTML] Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity
RM Salazar, SS Nair, AO Leone, T Xu… - Advances in Radiation …, 2025 - Elsevier
Purpose To evaluate the efficacy of prominent machine learning algorithms in predicting
normal tissue complication probability using clinical data obtained from 2 distinct disease …
normal tissue complication probability using clinical data obtained from 2 distinct disease …
Meta-analysis of the efficacy and safety of Xihuang Pills/capsules in adjuvant treatment of uterine cervical neoplasms
H Xu, G Tian, C Wu, X Sun, K Li - Medicine, 2023 - journals.lww.com
Background: Xihuang Pills/Capsules have a longstanding history of utilization in traditional
Chinese medicine (TCM) for treating cancer. Nevertheless, a comprehensive investigation is …
Chinese medicine (TCM) for treating cancer. Nevertheless, a comprehensive investigation is …
Performance comparison of ten state-of-the-art machine learning algorithms for outcome prediction modeling of radiation-induced toxicity
RM Salazar, SS Nair, AO Leone, T Xu, RP Mumme… - medRxiv, 2024 - medrxiv.org
Purpose To evaluate the efficacy of prominent machine learning algorithms in predicting
normal tissue complication probability utilizing clinical data obtained from two distinct …
normal tissue complication probability utilizing clinical data obtained from two distinct …
[PDF][PDF] 1XIAOTAO GENG, 2YAPING ZHANG, 1YANG LI, 1YUANYUAN CAI, 1JIE LIU, 3TIANXIANG GENG, 1XIANGDI MENG, 1FURONG HAO
X Meng, F Hao - 2024 - scholar.archive.org
Objectives: This research aimed to develop a radiomics-clinical nomogram based on
enhanced thin-section computed tomography (CT) radiomics and clinical features for the …
enhanced thin-section computed tomography (CT) radiomics and clinical features for the …