Liver Tumor Detection Using Deep Learning Techniques

ST Deokate, S Pede, K Dhotre… - 2023 7th …, 2023 - ieeexplore.ieee.org
Segmentation and categorization of Liver CT scan images is very crucial phase, many
algorithms are used to detect the tumor from CT scan images.. We designed a model for liver …

RETRACTED ARTICLE: Improved performance accuracy in detecting tumor in liver using deep learning techniques

V Sureshkumar, V Chandrasekar… - Journal of Ambient …, 2021 - Springer
One of the foremost decease causes in the world is the Liver Cancer. Using practical
radiology the liver lesions can be determined with accurate dramatization, due to the hurt …

A Comparative Study on Liver Tumor Detection Using CT Images

AE Ba Alawi, AYA Saeed, BMN Radman… - … Conference of Reliable …, 2020 - Springer
Liver cancer (LC) is a globally known issue. It is one of the most common cancers that can
cause human beings. It is a fatal disease spreading especially in developing countries …

Convolutional Neural Networks based Liver Tumor Classification

K Pathak, DK Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The most common and widespread disease among today's population is liver disease,
which is caused by excessive alcohol consumption, polluted gas produced by various …

[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 …

Automated Detection of Primary Liver Cancer Using Different Deep Learning Approaches

HA Ahmed, KH Rahouma… - Journal of Advanced …, 2024 - jaet.journals.ekb.eg
Hepatocellular carcinoma (HCC) is the world's sixth-most common malignancy and the
fourth-leading cause of cancer death. This paper introduces an early diagnose to HCC using …

Liver cancer detection using hybrid approach-based convolutional neural network (HABCNN)

S Bhushan - Proceedings of 3rd International Conference on …, 2022 - Springer
Liver cancer is one of the serious disease these days. Every year almost 800,000 people get
detect of liver cancer and 700,000 died out of that. But it is very difficult to detect it at early …

Detection of liver cancer through computed tomography images using deep convolutional neural networks

Z Naaqvi, S Akbar, SA Hassan… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Liver cancer is the fifth most common type of tumor in men and the ninth most common type
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …

A Systematic Analysis of Liver Cancer Detection Using Deep Learning Techniques

K Hassan, M Kaleem, I Khan, MA Mushtaq… - Journal of Computing & …, 2023 - jcbi.org
A major cause of death around the globe is liver cancer. Liver cancer is the fourth most
prevalent cause of cancer-related deaths worldwide and the sixth most often diagnosed …

[PDF][PDF] Liver cancer detection using Artificial Intelligence

N Badrawy, AT Khalil, HM Amer - 2024 - researchgate.net
A noticeable increase in statistics of liver cancer in Egypt and all over the world. Therefore,
using Artificial Intelligence (AI) to increase the detection accuracy and minimize human …