Recognition of liver tumors by predicted hyperspectral features based on patient's computed tomography radiomics features
X Wang, T Wang, Y Zheng, X Yin - Photodiagnosis and photodynamic …, 2023 - Elsevier
Background Primary liver tumors can be a serious threat to life and health. Early diagnosis
may be life saving. Therefore, enhancing the accuracy of non-invasive early detection of …
may be life saving. Therefore, enhancing the accuracy of non-invasive early detection of …
A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma
Background: Given its heterogeneity and diverse clinical outcomes, precise subclassification
of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is …
of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is …
Hemoglobin and Its Z Score Reference Intervals in Febrile Children: A Cohort Study of 98,572 Febrile Children
Objectives: Febrile disease and age of children were associated with a variation in
hemoglobin (Hb) level. Both CRP and Hb serve as laboratory markers that offer valuable …
hemoglobin (Hb) level. Both CRP and Hb serve as laboratory markers that offer valuable …
AI-Powered Automated Methods for Predicting Liver Disease: A Recent Review
J Patil, S Chiwhane - International Conference on Advancements in Smart …, 2023 - Springer
The diagnosis of liver disease using invasive method is a major concern for people. The
invasive method like biopsy may be the last decision of doctors after many non-invasive …
invasive method like biopsy may be the last decision of doctors after many non-invasive …
Analyzing Quantum Feature Engineering and Balancing Strategies Effect on Liver Disease Classification
AN Safriandono, A Dahlan… - Journal of Future …, 2024 - faith.futuretechsci.org
This research aims to improve the accuracy of liver disease classification using Quantum
Feature Engineering (QFE) and the Synthetic Minority Over-sampling Tech-nique and …
Feature Engineering (QFE) and the Synthetic Minority Over-sampling Tech-nique and …
Detection of Hepatocellular Carcinoma Using Machine Learning: A Case for the Filipino Cohort
MG Manzanillo, E Tripon, DZ Junio… - Available at SSRN … - papers.ssrn.com
Hepatocellular Carcinoma (HCC) is a global health concern, ranking sixth in prevalence and
third in cancer-related mortality. The lack of cost-effective diagnostic tests poses a challenge …
third in cancer-related mortality. The lack of cost-effective diagnostic tests poses a challenge …