Machine learning for lung cancer diagnosis, treatment, and prognosis
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …
Omics-based deep learning approaches for lung cancer decision-making and therapeutics development
Lung cancer has been the most common and the leading cause of cancer deaths globally.
Besides clinicopathological observations and traditional molecular tests, the advent of …
Besides clinicopathological observations and traditional molecular tests, the advent of …
[HTML][HTML] Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review
Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …
worldwide. Microscopic examination of histological and cytological lung specimens can be a …
[HTML][HTML] The current issues and future perspective of artificial intelligence for developing new treatment strategy in non-small cell lung cancer: harmonization of …
I Tanaka, T Furukawa, M Morise - Cancer Cell International, 2021 - Springer
Comprehensive analysis of omics data, such as genome, transcriptome, proteome,
metabolome, and interactome, is a crucial technique for elucidating the complex mechanism …
metabolome, and interactome, is a crucial technique for elucidating the complex mechanism …
[HTML][HTML] Artificial intelligence and lung cancer: impact on improving patient outcomes
Simple Summary In this comprehensive review, we aimed to summarize the advances made
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …
An extensive review on lung cancer diagnosis using machine learning techniques on radiological data: state-of-the-art and perspectives
Cancer of the lung is a killer illness that often results from a combination of genetic
disposition and many clinical changes. The lung region of the body contains cancerous cells …
disposition and many clinical changes. The lung region of the body contains cancerous cells …
[HTML][HTML] Artificial intelligence in lung cancer pathology image analysis
Objective: Accurate diagnosis and prognosis are essential in lung cancer treatment
selection and planning. With the rapid advance of medical imaging technology, whole slide …
selection and planning. With the rapid advance of medical imaging technology, whole slide …
Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer
X Yin, H Liao, H Yun, N Lin, S Li, Y Xiang… - Seminars in cancer biology, 2022 - Elsevier
Lung cancer accounts for the main proportion of malignancy-related deaths and most
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …
[HTML][HTML] Early lung cancer diagnostic biomarker discovery by machine learning methods
Early diagnosis has been proved to improve survival rate of lung cancer patients. The
availability of blood-based screening could increase early lung cancer patient uptake. Our …
availability of blood-based screening could increase early lung cancer patient uptake. Our …
Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …