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 …

[PDF][PDF] Detection and classification of liver cancers using computed tomography images

AG Abebe, DS Teferi - 2022 - academia.edu
Detection and classi cation of liver cancers using computed tomography images Page 1
Page 1/14 Detection and classi cation of liver cancers using computed tomography images …

Classification of abdominal CT images bearing liver tumor using structural similarity index and support vector machine

AA Siddiqi, A Khawaja, A Hashmi - Mehran University Research …, 2020 - search.informit.org
Computed Tomographic (CT) imaging is extensively implemented for liver tumor
visualization and detection. Computer aided image processing algorithms can provide aid to …

Medical image processing methodology for liver tumour diagnosis

T Prakash - International Journal on Soft Computing (IJSC) Vol, 2017 - papers.ssrn.com
Apply the Image processing techniques to analyse the medical images may assist medical
professionals as well as patients, especially in this research apply the algorithms to …

Enhanced Liver Tumor Diagnosis Using Data Mining and Computed Tomography (CT)

AE Khedr, A Khalil, MA Osman - Future, 2014 - fue.edu.eg
The main objective of this study is to provide a Computer-Aided Diagnosis (CAD) system for
the diagnosis process of benign and malignant liver tumors from computed tomography …

[PDF][PDF] A survey on classification of liver tumor from abdominal computed tomography using machine learning techniques

S Gunasundari, R Swetha - Cancer, 2021 - researchgate.net
Pattern recognition is a significant area of research in medicine because many applications
like diagnostic system benefit from it. The aim of this research is to analyze developments of …

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 …

Comparative analysis of intelligent learning techniques for diagnosis of liver tumor from CT images

R Nemane, A Thakare, S Pillai, N Shiturkar… - Advances in Data …, 2022 - Springer
Liver tumor is one of the major causes of deaths worldwide. The early-stage diagnosis of
liver tumors is very important and is a time-consuming process. Hence, it is essential to have …

Analysis of abdominal computed tomography images for automatic liver cancer diagnosis using image processing algorithm

AA Khan, GB Narejo - Current Medical Imaging, 2019 - ingentaconnect.com
Background: The application of image processing algorithms for medical image analysis has
been found effectual in the past years. Imaging techniques provide assistance to the …

Analysis of liver cancer detection based on image processing

M Moghimhanjani, A Taghavirashidizadeh - arXiv preprint arXiv …, 2022 - arxiv.org
Medical imaging is the most important tool for detecting complications in the inner body of
medicine. Nowadays, with the development of image processing technology as well as …