Radiological diagnosis of chronic liver disease and hepatocellular carcinoma: A review

S Singh, S Hoque, A Zekry, A Sowmya - Journal of Medical Systems, 2023 - Springer
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 …

Automatic classification of fatty liver disease based on supervised learning and genetic algorithm

A Gaber, HA Youness, A Hamdy, HM Abdelaal… - Applied Sciences, 2022 - mdpi.com
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 …

A fatty liver diseases classification network based on adaptive coordination attention with label smoothing

H Huang, Y Liu, Q Xiong, Y Xing, H Du - Biomedical Signal Processing and …, 2023 - Elsevier
Accurate classification of fatty liver disease (FLD) from fuzzy boundary areas and lesion
areas in ultrasound imaging is crucial for clinical diagnosis and treatment. This paper …

Multiscale Feature Fusion Method for Liver Cirrhosis Classification

S Wang, L Jian, K Li, P Zhou… - International Journal of …, 2024 - Wiley Online Library
Liver cirrhosis is one of the most common liver diseases in the world, posing a threat to
people's daily lives. In advanced stages, cirrhosis can lead to severe symptoms and …

Predictive analysis for hepatitis and cirrhosis liver disease using machine learning algorithms

A Tamilarasi, K Chitra, J Swetha… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Liver is one among the largest organs in the human body, which implements functions like
creation of some proteins, activation of enzyme's, storing glucose, minerals etc. A variety of …

Automated system utilizing non-invasive technique mammograms for breast cancer detection

HM Ammar, AF Tammam, IM Selim, M Eassa - BMC Medical Imaging, 2024 - Springer
In order to increase the likelihood of obtaining treatment and achieving a complete recovery,
early illness identification and diagnosis are crucial. Artificial intelligence is helpful with this …

Automatic Classification of Diffuse Liver Diseases: Cirrhosis & Hepatosteatosis using Ultrasound Images

A Ossama, O Ahmed, M Hashem… - 2022 2nd …, 2022 - ieeexplore.ieee.org
This research aims to develop an intelligent system that can detect and classify various liver
diseases using machine learning. This study will employ digital Ultra-sound images (US) …

Automatic classification of document resources based on Naive Bayesian classification algorithm

R Wang - Informatica, 2022 - informatica.si
Abstract World Wide Web has become big as the amount of documents collection is
increasing rapidly. The automatic classification of document resources based on Naive …

Focal Liver Lesion Classification Based on Statistical Variations of Discrete Haar Wavelet Transform and Singular Value Decomposition

AKR Poreddy, SC Lingamaiah, TB Krishna… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
This letter presents a classification model for focal liver lesions (FLLs) based on statistical
variations of discrete Haar wavelet transform subbands. The statistical perturbations among …

A MODEL FOR DIAGNOSING LIVER DISEASES USING “MACHINE LEARNING” TECHNIQUES

H Tahmasbi, R Besharati, M Alishahi - Studies in Medical Sciences, 2023 - umj.umsu.ac.ir
Background & Aims: Early diagnosis of liver diseases has a significant effect on the
prevention of its complications as well as control and treatment of the disease.“Machine …