A Hybrid RNN-based Deep Learning Model for Lung Cancer and COPD Detection

R Karla, R Yalavarthi - Engineering, Technology & Applied Science …, 2024 - etasr.com
In the last ten years, lung cancer and chronic pulmonary diseases have become prominent
respiratory diseases that require significant attention. This increase in prominence …

A Transfer Learning for Intelligent Prediction of Lung Cancer Detection

TT Al-Shouka, KMA Alheeti - 2023 Al-Sadiq International …, 2023 - ieeexplore.ieee.org
Cancer is a widespread and potentially lethal illness. There are many different types of
cancer. The most common type of cancer is lung cancer. High mortality rates from lung …

Lung Cancer Intelligent Prediction System Using CNN

TT Al–Shouka, KMA Alheeti - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The mortality rate from Lung Cancer is high, and the disease is notoriously difficult to treat. It
was the third most frequent mortality reason for women and the leading cause of male …

Pushing Diagnostic Frontiers: Federated Learning CNN for Diverse Lung Disease

V Jindal, V Kukreja, DP Singh, S Vats… - 2023 4th IEEE Global …, 2023 - ieeexplore.ieee.org
This study explores the possibility of Federated Learning combined with Convolutional
Neural Networks (CNN) for improved lung disease diagnoses in the age of developing …

Lung Cancer Detection Using Machine Learning and Deep Learning Models

KMA Alheeti, TT Al-Shouka, SH Majeed… - … Multi-Conference on …, 2024 - ieeexplore.ieee.org
Technology and artificial intelligence play a significant role in improving healthcare and
enable tasks to be automated. In addition, the diseases can be better understood and …

Deep Learning-Based Methods for Brain Tumor Segmentation: A State-of-the-Art Review

M Aslam, I Shahzad, A Malik, MM Khan - Journal of Computing & …, 2024 - jcbi.org
Hospitals have lately begun using machine learning to expedite the diagnostic and analysis
process. Now that they have assistance with diagnosis, doctors can expedite the start of the …

CT Image-Based Lung Cancer Detection Using a CNN-Based Model

AJ Prity, MF Mridha… - 2023 4th International …, 2023 - ieeexplore.ieee.org
One of the most prevalent cancers worldwide is lung cancer which contributes to cancer-
related death. Smoking is mostly responsible for lung cancer. Existing lung cancer detection …

Survey on Antennas for Different Cancers and Tumor Detection

RG Hamsika, S Radha, S Sandesh, S Damara… - … on Intelligent Systems …, 2023 - Springer
Antennas play major role in wide variety of medical applications. Cancers had been a
common disease in the recent years, various parts of body are affected by cancer cells in …

Advanced Machine Learning Techniques for Precise Lung Cancer Detection from CT Scans

B Dhanwanth, B Vivek, P Shobana, A Joshi - International Conference on …, 2023 - Springer
Using a hybrid machine learning model that takes into account Convolutional Neural
Networks (CNN), Support Vector Machines (SVM), and Gradient Boosting methods, this …

Prediction of Lung Cancer Disease in Human Beings from Biomedical Text Dataset Using Transfer Learning

K Jabir, AT Raja - Human Machine Interaction in the Digital Era, 2024 - taylorfrancis.com
It has been determined that lung cancer is the key factor responsible for the increased
cancer mortality rate seen by this generation. In order to successfully treat lung cancer, early …