Enhanced Diagnosis of Liver Cancer Subtypes Through Deep Learning Techniques

N Khaled, H Tarek, M Makram… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Liver cancer presents a substantial threat to life and is recognized as one of the rapidly
growing forms of cancer globally. According to a 2020 World Health Organization study …

Deep Learning Approach for Liver Tumor Diagnosis

M Makram, M Elhemeily… - 2023 Intelligent Methods …, 2023 - ieeexplore.ieee.org
Liver cancer is a significant issue in Egypt, as indicated by the most recent statistics from the
World Health Organisation in 2020, where liver cancer-related deaths reached 4.57 percent …

Deep Learning Approach for Hepatic Lesion Detection

M Makram, A Mohammed - 2024 Intelligent Methods, Systems …, 2024 - ieeexplore.ieee.org
Egypt ranks second worldwide for liver cancer mortality, with 4.57% of global hepatic tumor
deaths. Liver disease-related fatalities make up 11.20% of Egypt's total mortality …

Deep learning methods for hepatic tumor detection

ML Makram, M Elhemeily, A Mohammed - 2024 - aisel.aisnet.org
LIVER tumors pose a substantial global health threat, and in Egypt, they are a significant
public health concern. A report in 2020 from the World Health Organization indicated that …

[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 …

Computerized diagnosis of liver tumors from CT scans using a deep neural network approach

A Midya, J Chakraborty, R Srouji… - IEEE journal of …, 2023 - ieeexplore.ieee.org
The liver is a frequent site of benign and malignant, primary and metastatic tumors.
Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the most …

A transfer learning approach for the classification of liver cancer

FI Abdulsahib, B Al-Khateeb, LT Kóczy… - Journal of Intelligent …, 2023 - degruyter.com
Problem The frequency of liver cancer is rising worldwide, and it is a common, deadly
condition. For successful treatment and patient survival, early and precise diagnosis is …

Deep learning techniques in liver tumour diagnosis using CT and MR imaging-A systematic review

B Lakshmipriya, B Pottakkat, G Ramkumar - Artificial Intelligence in …, 2023 - Elsevier
Deep learning has become a thriving force in the computer aided diagnosis of liver cancer,
as it solves extremely complicated challenges with high accuracy over time and facilitates …

A deep learning approach for liver cancer detection in CT scans

U Hameed, M Ur Rehman, A Rehman… - Computer Methods in …, 2024 - Taylor & Francis
In recent years, with the rapid advancements in deep learning, image processing has
progressively attracted the attention of medical researchers to achieve accurate diagnoses …

Hybrid deep learning method for detection of liver cancer

SP Deshmukh, D Choudhari, S Amalraj… - … Assisted Methods in …, 2023 - cames.ippt.gov.pl
Liver disease refers to any liver irregularity causing its damage. There are several kinds of
liver ailments. Benign growths are rarely life threatening and can be removed by specialists …