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 …
Artificial intelligence for detecting and quantifying fatty liver in ultrasound images: A systematic review
FM Alshagathrh, MS Househ - Bioengineering, 2022 - mdpi.com
Background: Non-alcoholic Fatty Liver Disease (NAFLD) is growing more prevalent
worldwide. Although non-invasive diagnostic approaches such as conventional …
worldwide. Although non-invasive diagnostic approaches such as conventional …
A novel liver image classification method using perceptual hash-based convolutional neural network
Classification of liver masses plays an important role in early diagnosis of patients. This
paper proposes a method to reduce the liver computed tomography (CT) images …
paper proposes a method to reduce the liver computed tomography (CT) images …
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
Fatty liver disease (FLD) is reversible disease and can be treated, if it is identified at an early
stage. However, if diagnosed at the later stage, it can progress to an advanced liver disease …
stage. However, if diagnosed at the later stage, it can progress to an advanced liver disease …
A novel computer-aided diagnosis framework using deep learning for classification of fatty liver disease in ultrasound imaging
Fatty Liver Disease (FLD), if left untreated can progress into fatal chronic diseases (Eg.
fibrosis, cirrhosis, liver cancer, etc.) leading to permanent liver failure. Doctors usually use …
fibrosis, cirrhosis, liver cancer, etc.) leading to permanent liver failure. Doctors usually use …
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 …
Quantification of liver fat: A comprehensive review
Fat accumulation in the liver causes metabolic diseases such as obesity, hypertension,
diabetes or dyslipidemia by affecting insulin resistance, and increasing the risk of cardiac …
diabetes or dyslipidemia by affecting insulin resistance, and increasing the risk of cardiac …
Classification of liver diseases based on ultrasound image texture features
This paper discusses using computer-aided diagnosis (CAD) to distinguish between
hepatocellular carcinoma (HCC), ie, the most common type of primary liver malignancy and …
hepatocellular carcinoma (HCC), ie, the most common type of primary liver malignancy and …
Characterization of primary and secondary malignant liver lesions from B-mode ultrasound
Abstract Characterization of hepatocellular carcinomas (HCCs) and metastatic carcinomas
(METs) from B-mode ultrasound presents a daunting challenge for radiologists due to their …
(METs) from B-mode ultrasound presents a daunting challenge for radiologists due to their …
[PDF][PDF] Convolutional neural networks on assembling classification models to detect melanoma skin cancer
H Vega-Huerta, R Villanueva-Alarcón… - … Journal of Online and …, 2022 - researchgate.net
In 2020, there were more than 1.2 million new skin cancer diagnoses, and melanoma was
the most recurrent type of cancer. On the other hand, melanoma is the least common but …
the most recurrent type of cancer. On the other hand, melanoma is the least common but …