Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
[PDF][PDF] Lung cancer medical images classification using hybrid CNN-SVM
AY Saleh, CK Chin, V Penshie… - International Journal of …, 2021 - researchgate.net
Lung cancer is one of the leading causes of death in Malaysia and around the world [1]. In
2018, lung cancer had the highest percentage of new cases and deaths worldwide, by …
2018, lung cancer had the highest percentage of new cases and deaths worldwide, by …
Automated AJCC staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)
Purpose A large chunk of lung cancers are of the type non-small cell lung cancer (NSCLC).
Both the treatment planning and patients' prognosis depend greatly on factors like AJCC …
Both the treatment planning and patients' prognosis depend greatly on factors like AJCC …
A deep learning based approach to lung cancer identification
Cancer is a very common disease type in worldwide. There are many types of cancer. Lung
cancer is the most common type of cancer. Lung cancer which is common in both men and …
cancer is the most common type of cancer. Lung cancer which is common in both men and …
Deep fusion of gray level co-occurrence matrices for lung nodule classification
A Saihood, H Karshenas, ARN Nilchi - Plos one, 2022 - journals.plos.org
Lung cancer is a serious threat to human health, with millions dying because of its late
diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for …
diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for …
A dynamic optimization and deep learning technique for detection of lung cancer in CT images and data access through Internet of Things
C Venkatesh, P Bojja - Wireless Personal Communications, 2022 - Springer
Now-a-days the most common pretentious disease is the lung cancer, which has become
more prevalent in the world that primarily infects the pulmonary nodules of the lungs. At …
more prevalent in the world that primarily infects the pulmonary nodules of the lungs. At …
An automated lung cancer detection system based on machine learning algorithm
S Lalitha - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Cancer has been one of the most serious health challenges to the human kind for a long
period of time. Lung cancer is the most prevalent type of cancer which shows higher death …
period of time. Lung cancer is the most prevalent type of cancer which shows higher death …
Local Binary Pattern (LBP) and Transfer Learning Based Approach to Classify Lung and Colon Cancer
Several genetic disorders and other metabolic abnormalities work together to generate the
lethal disease known as cancer. Today's most contributing factors to mortality and disability …
lethal disease known as cancer. Today's most contributing factors to mortality and disability …
Detection of Lung Cancer using CT Scans with Deep Learning Approach
M Marathe, M Bhalekar - 2022 7th International Conference on …, 2022 - ieeexplore.ieee.org
Cancer which begin to grow uncontrollably in the lungs is known as lung cancer. Lung
cancer is second deadliest disease in the world. In this paper, we have implemented …
cancer is second deadliest disease in the world. In this paper, we have implemented …