[HTML][HTML] A convolutional neural network-based intelligent medical system with sensors for assistive diagnosis and decision-making in non-small cell lung cancer

X Zhan, H Long, F Gou, X Duan, G Kong, J Wu - Sensors, 2021 - mdpi.com
In many regions of the world, early diagnosis of non-small cell lung cancer (NSCLC) is a
major challenge due to the large population and lack of medical resources, which is difficult …

A staging auxiliary diagnosis model for nonsmall cell lung cancer based on the intelligent medical system

J Wu, F Gou, Y Tan - Computational and Mathematical Methods …, 2021 - Wiley Online Library
At present, human health is threatened by many diseases, and lung cancer is one of the
most dangerous tumors that threaten human life. In most developing countries, due to the …

Convolutional Neural Network based Framework for Automatic Lung Cancer Detection from Lung CT Images

M Aharonu, RL Kumar - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Lung cancer is one of the major causes of death across the globe. Medical interventions with
modern healthcare facilities are widely used to cure lung cancer. However, it is …

Lung cancer detection and classification based on alexnet CNN

A Agarwal, K Patni, D Rajeswari - 2021 6th international …, 2021 - ieeexplore.ieee.org
Lung cancer is among the most fatal disease in developed countries, and early diagnosis of
the disease is difficult. Lung cancer diagnosis and treatment has been one of the most …

[HTML][HTML] Optimization system based on convolutional neural network and internet of medical things for early diagnosis of lung cancer

Y Hussain Ali, V Sabu Chooralil, K Balasubramanian… - Bioengineering, 2023 - mdpi.com
Recently, deep learning and the Internet of Things (IoT) have been widely used in the
healthcare monitoring system for decision making. Disease prediction is one of the …

An automatic lung cancer detection and classification (ALCDC) system using convolutional neural network

W Abdul - … 13th International Conference on Developments in …, 2020 - ieeexplore.ieee.org
The early detection of lung cancer in humans is of significant importance due to its impacts
on an individual. The detection of the lung cancer tumor at its early stage is also a …

Computer‐Aided Diagnosis Research of a Lung Tumor Based on a Deep Convolutional Neural Network and Global Features

H Lu - BioMed Research International, 2021 - Wiley Online Library
Based on the better generalization ability and the feature learning ability of the deep
convolutional neural network, it is very significant to use the DCNN on the computer‐aided …

Comparative hybrid deep convolutional learning framework with transfer learning for diagnosis of lung cancer

S Dadgar, M Neshat - International Conference on Soft Computing and …, 2022 - Springer
Lung cancer stands as the most common cancer in men and has 2 nd rank in women
worldwide. Detecting the type of cancer and running the appropriate treatments in the early …

An efficient deep learning model based diagnosis system for lung cancer disease

GZ Khan, IA Shah, MI Ullah, I Ullah… - 2023 4th …, 2023 - ieeexplore.ieee.org
Lung cancer illness seriously impacts people's health. Medical history-based detection of
lung cancers has been utilized but it has unsatisfactory results. Artificial intelligence …

[HTML][HTML] Stacked neural nets for increased accuracy on classification on lung cancer

SRR BR, S Sen, R Bhatt, ML Dhanetwal, M Sharma… - Measurement …, 2024 - Elsevier
Lung cancer is regarded as one of the most lethal diseases endangering human survival. It
is difficult to detect lung cancer in its early stages, because of the ambiguity in the lung …