A study on early prediction of lung cancer using machine learning techniques
VN Jenipher, S Radhika - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Machine learning techniques are being used in cancer research for more than a decade.
Nowadays, Machine Learning Algorithms (ML a) can contribute significantly to the area of …
Nowadays, Machine Learning Algorithms (ML a) can contribute significantly to the area of …
PET standardized uptake values of primary lung cancer for comparison with tumor volume doubling times
M Siddique, R Yip, CI Henschke, DF Yankelevitz - Clinical Imaging, 2021 - Elsevier
Objective To determine the relationship between two documented indicators of tumor
aggressiveness, SUV and volume doubling time (VDT) for stage I non-small cell lung cancer …
aggressiveness, SUV and volume doubling time (VDT) for stage I non-small cell lung cancer …
Oligometastatic Lung Cancer Defined by Biology, Science, and Secondary Growths.
FM Shamji, G Beauchamp, DE Maziak - Thoracic Surgery Clinics, 2021 - europepmc.org
Breast cancer was the first malignant tumor for which TNM classification was proposed by
the International Union Against Cancer. Volume and distribution of tumor burden were …
the International Union Against Cancer. Volume and distribution of tumor burden were …
Combining Machine Learning Mechanism With Statistical Models For Predicting The Survival Of Lung Cancer
UR Jayathilaka, GC Park - Journal of Pharmaceutical Negative …, 2022 - pnrjournal.com
Machine learning is a great artificial intelligence technology used in cancer prediction and
diagnosis. Also, with the development of personalized and medical applications, there has …
diagnosis. Also, with the development of personalized and medical applications, there has …