Machine learning approach for detecting liver tumours in CT images using the gray level co-occurrence metrix
Over 2.4% of deaths in India each year are caused by liver diseases. Due to its mild early
signs, liver disease is also challenging to diagnose. Frequently, the signs only become …
signs, liver disease is also challenging to diagnose. Frequently, the signs only become …
Machine-learning based hybrid-feature analysis for liver cancer classification using fused (MR and CT) images
The purpose of this research is to demonstrate the ability of machine-learning (ML) methods
for liver cancer classification using a fused dataset of two-dimensional (2D) computed …
for liver cancer classification using a fused dataset of two-dimensional (2D) computed …
Image analysis for the detection and diagnosis of hepatocellular carcinoma from abdominal CT images
P Sreeja, S Hariharan - … Technologies: Proceedings of Internet of Things …, 2018 - Springer
This paper describes the application of machine learning algorithms in detecting the liver
lesion from abdominal CT images. Liver lesions are usually detected by different imaging …
lesion from abdominal CT images. Liver lesions are usually detected by different imaging …
Computer vision approach for liver tumor classification using CT dataset
The liver tumor is one of the most foremost critical causes of death in the world. Nowadays,
Medical Imaging (MI) is one of the prominent Computer Vision fields (CV), which helps …
Medical Imaging (MI) is one of the prominent Computer Vision fields (CV), which helps …
Ensembled liver cancer detection and classification using CT images
Computed tomography (CT) images are commonly used to diagnose liver disease. It is
sometimes very difficult to comment on the type, category and level of the tumor, even for …
sometimes very difficult to comment on the type, category and level of the tumor, even for …
Assessment of neural network based classifiers to diagnose focal liver lesions using CT images
RS Hameed, SS Kumar - Procedia engineering, 2012 - Elsevier
Tumor is a condition affected to a person such that their cells would deform due to various
body changes and thus may lead to cancer. Early detection of these tumors would help the …
body changes and thus may lead to cancer. Early detection of these tumors would help the …
[PDF][PDF] Efficient computer aided diagnosis system for hepatic tumors using computed tomography scans
Y Al-Saeed, WA Gab-Allah, H Soliman… - Comput. Mater …, 2022 - pdfs.semanticscholar.org
One of the leading causes of mortality worldwide is liver cancer. The earlier the detection of
hepatic tumors, the lower the mortality rate. This paper introduces a computer-aided …
hepatic tumors, the lower the mortality rate. This paper introduces a computer-aided …
Detection of liver cancer using modified fuzzy clustering and decision tree classifier in CT images
Manual detection and characterization of liver cancer using computed tomography (CT)
scan images is a challenging task. In this paper, we have presented an automatic approach …
scan images is a challenging task. In this paper, we have presented an automatic approach …
Computer-aided segmentation of liver lesions in CT scans using cascaded convolutional neural networks and genetically optimised classifier
N Nanda, P Kakkar, S Nagpal - Arabian Journal for Science and …, 2019 - Springer
Abdominal CT scans have been widely studied and researched by medical professionals in
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …
Multi-class liver cancer diseases classification using CT images
Liver cancer is the fourth common cancer in the world and the third leading reason of cancer
mortality. The conventional methods for detecting liver cancer are blood tests, biopsy and …
mortality. The conventional methods for detecting liver cancer are blood tests, biopsy and …