Customized Deep Learning Framework with Advanced Sampling Techniques for Lung Cancer Detection using CT Scans

T Mahmmod, N Ayesha, M Mujahid… - … Women in Data …, 2024 - ieeexplore.ieee.org
Lung cancer is a devastating disease that kills around five million people annually, making it
a major global threat. Timely recognition is critical to improving patient survival. With a focus …

ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework

HA Helaly, M Badawy, EM El-Gendy… - Neural Computing and …, 2024 - Springer
The survival rate of lung cancer relies significantly on how far the disease has spread when
it is detected, how it reacts to the treatment, the patient's overall health, and other factors …

Lung carcinoma detection at premature stage using deep learning techniques

I Bhatia, A Aarti - AIP conference proceedings, 2022 - pubs.aip.org
Lung cancer is one of the commonest diseases globally and accounts for more deaths from
lung cancer than other ones. We did an exact review of the distributed things on the study of …

A review on early diagnosis of lung cancer from ct images using deep learning

MM Warrier, L Abraham - Proceedings of the International Conference on …, 2023 - Springer
Lung cancer is one among the lung diseases with a median survival rate where accurate
early diagnosis can enhance the patient's lifespan. Computed tomography (CT) is the most …

Deep Learning-Assisted Lung Cancer Diagnosis from Histopathology Images

CC Peng, JW Wu - 2023 IEEE 5th Eurasia Conference on …, 2023 - ieeexplore.ieee.org
Early detection plays a critical role in enhancing patient survival rates as lung cancer
continues to pose a significant global health challenge and remains one of the primary …

Improved Convolutional Neural Network Lung Cancer Classification Detection Method Based on Transfer Learning and Model Compression

L Fangxing, P Yaxin, C Ju… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Lung cancer, one of the most life-threatening malignancies, has witnessed a significant
increase in its incidence and mortality rates over the past few decades. Accurate …

Classification of Lung nodules using Convolutional long short-term Neural Network

SA Agnes, J Anitha - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Lung nodule classification is a key process for early prediction of lung cancer. Automatic
diagnosis of lung nodules from computed tomography images decreases the risk of …

Lung Cancer Detection by Artificial Intelligence Using Deep Learning Techniques

V Bhuvaneshwari, J Jacklin, R Malini… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Lung cancer is the leading cause of mortality in both men and women. However, the fatality
rate can be decreased if lung cancer is detected early and treated effectively. Many …

Attention based recurrent neural network for lung cancer detection

S Sasikumar, PN Renjith, K Ramesh… - … Conference on I …, 2020 - ieeexplore.ieee.org
Lung cancer detection is a significant technique needed in the current medical field.
Moreover, it causes the larger death rate because of late identification which then delays the …

Review of Lung Cancer Detection and Classification using Deep Learning

A Agarwal - NEU Journal for Artificial Intelligence and Internet of …, 2023 - dergi.neu.edu.tr
Lung cancer is a prevalent and deadly disease, and early detection is crucial in improving
patient outcomes. Deep learning, a subfield of artificial intelligence, has emerged as a …