Machine learning based liver disease diagnosis: A systematic review

RA Khan, Y Luo, FX Wu - Neurocomputing, 2022 - Elsevier
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 …

Automated classification of fatty and normal liver ultrasound images based on mutual information feature selection

V Sharma, KC Juglan - Irbm, 2018 - Elsevier
Abstract Background Fatty Liver Disease (FLD) is one of the most critical diseases that
should be detected and cured at the earlier stage in order to decrease the mortality rate. To …

A study of the phases of classification of liver diseases from ultrasound images and gray level difference weights based segmentation

M Midhila, KR Krishnan… - … on Communication and …, 2017 - ieeexplore.ieee.org
This paper presents a study of the state of the art techniques applied to computer based
analysis and classification of liver diseases from ultrasound images. The diseased portions …

Computer aided diagnosis of liver ultrasound images using K-nearest neighbour approach

V Sharma - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
Fatty liver disease has become a major public health concern due to its high prevalence. In
order to diagnose fatty liver diseases, Computer Aided Diagnosis (CAD) systems have been …

Incluindo funções de distância e extratores de características para suporte a consultas por similaridade

MVN Bêdo - 2013 - teses.usp.br
Sistemas Gerenciadores de Bases de Dados Relacionais (SGBDR) são capazes de lidar
com um alto volume de dados. As consultas nestes sistemas são realizados a partir da …