Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review

H Ali, F Mohsen, Z Shah - BMC Medical Imaging, 2023 - Springer
Background Vision transformer-based methods are advancing the field of medical artificial
intelligence and cancer imaging, including lung cancer applications. Recently, many …

Classification of non-small cell lung cancers using deep convolutional neural networks

SU Atiya, NVK Ramesh, BNK Reddy - Multimedia Tools and Applications, 2024 - Springer
Lung cancer is a major cause of cancer-related deaths worldwide, and early detection is
crucial in reducing mortality rates. To aid in this effort, researchers have been exploring …

A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma

H Xie, C Song, L Jian, Y Guo, M Li, J Luo, Q Li… - BMC Medical Imaging, 2024 - Springer
Objectives At present, there are many limitations in the evaluation of lymph node metastasis
of lung adenocarcinoma. Currently, there is a demand for a safe and accurate method to …

[HTML][HTML] Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer

XIE Hui, J ZHANG, D Lijuan, TAN Tao… - Virtual Reality & Intelligent …, 2024 - Elsevier
Background The prognosis and survival of patients with lung cancer are likely to deteriorate
with metastasis. Using deep-learning in the detection of lymph node metastasis can facilitate …

Automatic lung and colon cancer detection using enhanced cascade convolution neural network

A Seth, VD Kaushik - Multimedia Tools and Applications, 2024 - Springer
Several types of cancer can develop in different organs at the same time, and lung and
colon cancer can affect the human body adversely in some cases. To diagnose cancer …