Binary classification of pulmonary nodules using long short-term memory (lstm)

S Gupta, A Garg, V Bishnoi… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Lung cancer is a prominent reason for deaths all over the globe. A large number of cases
have been detected in developed as well as developing nations. It is evident that the …

Sectoral application analysis of studies made with deep learning models

M Yılmaz, H Şahin, A Yıldız - Electronic Letters on Science and …, 2021 - dergipark.org.tr
Deep learning is a sub-branch of machine learning that provides the opportunity to work with
multidimensional data in multi-layered architectures using artificial neural network …

Lung Nodule Diagnosis for Cancer from X-Ray Images using Convolutional Neural Networks and Image Processing

R Varshini, NP Byalal - 2022 IEEE North Karnataka …, 2022 - ieeexplore.ieee.org
The Low Dose based Computing Tomography (LDCT) for screening of lung cancer has
been applied now greatly because of its performance and effectiveness. Many Radiologist …

Lung Cancer Detection from CT Images Using Image Processing and Machine Learning Techniques

DS Sawalha, A Salman - 2023 10th International Conference …, 2023 - ieeexplore.ieee.org
Lung cancer is the most common type of cancer among males worldwide. It accounts for one
of every five cancer-related fatalities and is prevalent in people aged 55 to 65. Detecting …

[PDF][PDF] Electronic Letters on Science & Engineering 17 (2)(2021)

M YILMAZ, H ŞAHİN, A YILDIZ - academia.edu
Deep learning is a sub-branch of machine learning that provides the opportunity to work with
multidimensional data in multi-layered architectures using artificial neural network …