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 …

[HTML][HTML] Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis

SY Rhyou, JC Yoo - Artificial intelligence in medicine, 2023 - Elsevier
Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the
diagnosis using ultrasound is still challenging owing to the presence of various image …

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) …

Enhancing cirrhosis detection: A deep learning approach with convolutional neural networks

RN Wijaya, HK Ahsan - Journal of Soft Computing Exploration, 2023 - shmpublisher.com
Cirrhosis, a prevalent and life-threatening liver condition, demands early detection for
effective intervention. This study investigates the potential of machine learning algorithms …

A Hierarchical Siamese Network for Noninvasive Staging of Liver Fibrosis Based on US Image Pairs of the Liver and Spleen

X Wang, L Song, Y Zhuang, L Han, K Chen, J Lin… - Sensors, 2023 - mdpi.com
Due to the heterogeneity of ultrasound (US) images and the indeterminate US texture of liver
fibrosis (LF), automatic evaluation of LF based on US images is still challenging. Thus, this …

Artificial Intelligence in Medical Image Processing

M Yousuff, R Babu, T Ramathulasi - Artificial Intelligence for Health …, 2023 - taylorfrancis.com
Image processing and medical science domains have seen an increase in using the term
artificial intelligence (AI) over the past decade. Although AI is a relatively new concept, it has …