Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19
Shortly after deep learning algorithms were applied to Image Analysis, and more importantly
to medical imaging, their applications increased significantly to become a trend. Likewise …
to medical imaging, their applications increased significantly to become a trend. Likewise …
RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics
Z Guo, L Xu, Y Si, N Razmjooy - International Journal of …, 2021 - Wiley Online Library
This study proposes a lung cancer diagnosis system based on computed tomography (CT)
scan images for the detection of the disease. The proposed method uses a sequential …
scan images for the detection of the disease. The proposed method uses a sequential …
Lung cancer detection and classification from chest CT scans using machine learning techniques
Lung cancer is one of the key causes of death amongst humans globally, with a mortality
rate of approximately five million cases annually. The mortality rate is even higher than …
rate of approximately five million cases annually. The mortality rate is even higher than …
Time-distanced gates in long short-term memory networks
Abstract The Long Short-Term Memory (LSTM) network is widely used in modeling
sequential observations in fields ranging from natural language processing to medical …
sequential observations in fields ranging from natural language processing to medical …
EMM-LC Fusion: Enhanced Multimodal Fusion for Lung Cancer Classification
J Barrett, T Viana - Ai, 2022 - mdpi.com
Lung cancer (LC) is the most common cause of cancer-related deaths in the UK due to
delayed diagnosis. The existing literature establishes a variety of factors which contribute to …
delayed diagnosis. The existing literature establishes a variety of factors which contribute to …
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
X Wang, J Sharpnack, T Lee - arXiv preprint arXiv:2408.09367, 2024 - arxiv.org
Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment
are crucial for improving patients' survival outcomes. In this paper, we propose to employ …
are crucial for improving patients' survival outcomes. In this paper, we propose to employ …
A systematic Review and Analysis: The Impact of Air Pollution on Lung Cancer
S Kanageswari, D Gladis - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
Toxic chemicals and contaminants abound in urban surroundings that have seen a high
level of industrialization. They have the potential to have severe impacts on human health …
level of industrialization. They have the potential to have severe impacts on human health …
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging
Annual low dose computed tomography (CT) lung screening is currently advised for
individuals at high risk of lung cancer (eg, heavy smokers between 55 and 80 years old) …
individuals at high risk of lung cancer (eg, heavy smokers between 55 and 80 years old) …
Artificial intelligence based prediction on lung cancer risk factors using deep learning
M Sohaib, M Adewunmi - arXiv preprint arXiv:2304.05065, 2023 - arxiv.org
In this proposed work, we identified the significant research issues on lung cancer risk
factors. Capturing and defining symptoms at an early stage is one of the most difficult phases …
factors. Capturing and defining symptoms at an early stage is one of the most difficult phases …
Accelerated muscle mass estimation from CT images through transfer learning
S Yoon, TH Kim, YK Jung, Y Kim - BMC Medical Imaging, 2024 - Springer
Background The cost of labeling to collect training data sets using deep learning is
especially high in medical applications compared to other fields. Furthermore, due to …
especially high in medical applications compared to other fields. Furthermore, due to …