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 …
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 …
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 …
been found effectual in the past years. Imaging techniques provide assistance to the …
Computer vision approach for liver tumor classification using CT dataset
M Hussain, N Saher, S Qadri - Applied Artificial Intelligence, 2022 - Taylor & Francis
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 …
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 …
Computer-aided classification of liver lesions from CT images based on multiple ROI
This manuscript introduces an automated Computer-Aided Classification (CAD) system to
classify liver lesions into Benign or Malignant. The system consists of three stages; firstly …
classify liver lesions into Benign or Malignant. The system consists of three stages; firstly …
An automatic computer-aided diagnosis system for liver tumours on computed tomography images
Liver cancer, one of the more common cancer diseases that cause a large number of deaths
every year, can be reduced by early detection and diagnosis. Computer-Aided Diagnosis …
every year, can be reduced by early detection and diagnosis. Computer-Aided Diagnosis …
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 …
Classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on multi-phase CT scans
Liver and bile duct cancers are leading causes of worldwide cancer death. The most
common ones are hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma …
common ones are hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma …
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 …