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 …

A Novel and Robust Fatty Liver Recognition Method Based on Hybrid Generative Adversarial Networks on Ultrasound Images

G Paul, G Ramkumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The liver is the biggest gland in the body and is responsible for a wide variety of processes.
The digestive system breaks down the food and liquids a person consumes so that the body …

Cirrhosis Disease Prediction Using Machine Learning

R Jamadar, H Uike, V Jabade - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The eternal scarring of the liver's cells is a hallmark of the chronic liver disease Cirrhosis.
The prognosis of patients can be greatly improved by early detection and treatment of this …

Enhancing Cirrhosis Prognosis Prediction with Optimized Ensemble Machine Learning Model

TSS Eswar, N Sharma - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
The diagnosis of cirrhosis, a chronic liver disease marked by scarring and reduced liver
function, has historically included a mix of imaging studies and clinical evaluations …

Survey on Liver Disease Prediction and Recommendation

AK Sai, K Geethika, CK Peddi… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
Liver is one among the crucial organs of a human body. If the liver's normal functioning is
compromised it leads to liver disease. The way people live today has completely changed …

A Comparative Study of CAINE Linux: A Digital Forensics Distribution

T Saleem, ZU Nataqain, M Saleem, G Mumtaz - Journal of Computing & …, 2024 - jcbi.org
Global crimes have necessitated digital forensics to be a more important factor in solving
criminal incidences hence effectively needs some measures. Some of the best-known …

Optimizing machine learning algorithms to enhance blood donation for liver patients: a case study

MM Mijwil, ESM El-kenawy, I Bala, M Aljanabi… - 2023 - IET
Blood is vital for transporting oxygen, nutrients, and hormones to all body parts as it
circulates through arteries and veins. It removes carbon dioxide, regulates body …

Exploring Phishing Attacks in the AI Age: A Comprehensive Literature Review

MS Liaqat, G Mumtaz, N Rasheed, Z Mubeen - Journal of Computing & …, 2024 - jcbi.org
Over the years, phishing attacks have also evolved to more difficult types of phishing such as
spear-phishing and clone-phishing. By nature, these attacks target not only human but also …

DIAGNOSIS OF MICROSCOPIC BLOOD SAMPLES FOR EARLY DETECTION OF WHITE BLOOD CELL DISEASES

DE Eshmurodov, FK Tulaganova - Innovations in Science and …, 2024 - innoist.uz
The immune system is one of the most important human systems, it fights against all
diseases and protects the body from viruses, bacteria, etc. White blood cells (WBC) play an …

A Predictive Approach for Hepatitis Disease Diagnosis in Early Stage Using Machine Learning Techniques

M Mim, S Akter, MJ Nayeem, S Rana… - Julker and Rana, Sohel … - papers.ssrn.com
The application of classification approaches utilizing multi-variable with machine learning
methods holds immense implications, particularly in the realm of healthcare and disease …