VCNet: Hybrid deep learning model for detection and classification of lung carcinoma using chest radiographs
Detection of malignant lung nodules from Computed Tomography (CT) images is a
significant task for radiologists. But, it is time-consuming in nature. Despite numerous …
significant task for radiologists. But, it is time-consuming in nature. Despite numerous …
Extreme learning machine algorithm‐based model for lung cancer classification from histopathological real‐time images
M Grace John, S Baskar - Computational Intelligence, 2023 - Wiley Online Library
In the present scenario, developing an automatic and credible diagnostic system to analyze
lung cancer type, stage, and level from computed tomography (CT) images is a very …
lung cancer type, stage, and level from computed tomography (CT) images is a very …
Rapid diagnosis of diabetes based on ResNet and Raman spectroscopy
J Wu, X Cui, Z Kang, S Wang, G Zhu, S Yang… - Photodiagnosis and …, 2022 - Elsevier
Diabetes mellitus is a global public health problem, and the epidemic situation in China is
particularly serious. The prevalence of the disease has been increasing in recent years, and …
particularly serious. The prevalence of the disease has been increasing in recent years, and …
Clinical Informatics System to Understand Lung Cancer Using Transfer Learning-Based Computer-Aided Application
A Abugabah, A Mehmood… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Lung cancer is the second leading cause of death worldwide after cardiovascular disease.
Due to late diagnosis, lung cancer patients have an extremely low survival rate when …
Due to late diagnosis, lung cancer patients have an extremely low survival rate when …
Hybrid deep learning model for detection and classification of lung cancer fusion images using MCNet
BL Nandipati, N Devarakonda - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Lung cancer is a dangerous tumor that requires accurate diagnosis for effective treatment.
Traditional diagnosis involves invasive and time-consuming histologic examination, and …
Traditional diagnosis involves invasive and time-consuming histologic examination, and …
Lung Cancer Detection Using CNN VGG19+ Model
NC Patil, NJ Patil - Journal of Electrical Systems, 2024 - search.proquest.com
In the last many years, lung cancer has become a major public health concern. To examine
cell breakdown in the lungs in its starting stages, doctors often use imaging modalities such …
cell breakdown in the lungs in its starting stages, doctors often use imaging modalities such …
[PDF][PDF] Deep learning structures used in pulmonary cancer diagnosis
Pulmonary cancer is considered as the deadliest cancer worldwide. It has been predicted to
be one of the greatest single source of mortality among the European population in 2019 [1] …
be one of the greatest single source of mortality among the European population in 2019 [1] …