Radiomics: a new application from established techniques
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …
medicine for patients. Personalized medicine provides better diagnosis and treatment …
Machine learning based liver disease diagnosis: A systematic review
The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
Radiological diagnosis of chronic liver disease and hepatocellular carcinoma: A review
Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …
Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review
Background Many techniques are proposed for the quantification of tumor heterogeneity as
an imaging biomarker for differentiation between tumor types, tumor grading, response …
an imaging biomarker for differentiation between tumor types, tumor grading, response …
Diagnosis of focal liver diseases based on deep learning technique for ultrasound images
In the last three decades, there is considerable interest in computer-aided diagnosis
systems for dealing with different diseases. Recently, these computer-aided diagnosis …
systems for dealing with different diseases. Recently, these computer-aided diagnosis …
SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors
A system to characterize normal liver, cirrhotic liver and hepatocellular carcinoma (HCC)
evolved on cirrhotic liver is proposed in this paper. The study is performed with 56 real …
evolved on cirrhotic liver is proposed in this paper. The study is performed with 56 real …
Automatic classification of fatty liver disease based on supervised learning and genetic algorithm
Fatty liver disease is considered a critical illness that should be diagnosed and detected at
an early stage. In advanced stages, liver cancer or cirrhosis arise, and to identify this …
an early stage. In advanced stages, liver cancer or cirrhosis arise, and to identify this …
Three-way decision support for diagnosis on focal liver lesions
Abstract Malignant Focal Liver Lesion (FLL) is a main cause of primary liver cancer. In most
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …
Novel image analysis method using ultrasound elastography for noninvasive evaluation of hepatic fibrosis in patients with chronic hepatitis C
K Fujimoto, M Kato, M Kudo, N Yada, T Shiina… - Oncology, 2013 - karger.com
It has been established that the long-term infection of chronic hepatitis C leads to the
increased risk of hepatic fibrosis and hepatocellular carcinoma. Currently, histological …
increased risk of hepatic fibrosis and hepatocellular carcinoma. Currently, histological …
Neural network ensemble based CAD system for focal liver lesions from B-mode ultrasound
A neural network ensemble (NNE) based computer-aided diagnostic (CAD) system to assist
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …