Reinforcement learning strategies in cancer chemotherapy treatments: A review
CY Yang, C Shiranthika, CY Wang, KW Chen… - Computer Methods and …, 2023 - Elsevier
Background and objective Cancer is one of the major causes of death worldwide and
chemotherapies are the most significant anti-cancer therapy, in spite of the emerging …
chemotherapies are the most significant anti-cancer therapy, in spite of the emerging …
Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis
LT Thong, HS Chou, HSJ Chew, LAU Ying - Lung Cancer, 2023 - Elsevier
Background Lung cancer is the principal cause of cancer-related deaths worldwide. Early
detection of lung cancer with screening is indispensable to reduce the high morbidity and …
detection of lung cancer with screening is indispensable to reduce the high morbidity and …
Medical Internet of things using machine learning algorithms for lung cancer detection
This paper empirically evaluates the several machine learning algorithms adaptable for lung
cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
[HTML][HTML] Prediction of cancer disease using machine learning approach
FJ Shaikh, DS Rao - Materials Today: Proceedings, 2022 - Elsevier
Cancer has identified a diverse condition of several various subtypes. The timely screening
and course of treatment of a cancer form is now a requirement in early cancer research …
and course of treatment of a cancer form is now a requirement in early cancer research …
Inverse decision modeling: Learning interpretable representations of behavior
Decision analysis deals with modeling and enhancing decision processes. A principal
challenge in improving behavior is in obtaining a transparent* description* of existing …
challenge in improving behavior is in obtaining a transparent* description* of existing …
Digital-Twin-Enabled IoMT system for surgical simulation using rAC-GAN
A digital-twin (DT)-enabled Internet of Medical Things (IoMT) system for telemedical
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …
An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques
VK Gugulothu, S Balaji - Multimedia Tools and Applications, 2023 - pmc.ncbi.nlm.nih.gov
Detection of malignant lung nodules at an early stage may allow for clinical interventions
that increase the survival rate of lung cancer patients. Using hybrid deep learning …
that increase the survival rate of lung cancer patients. Using hybrid deep learning …
Artificial intelligence tools for refining lung cancer screening
JL Espinoza, LT Dong - Journal of clinical medicine, 2020 - mdpi.com
Nearly one-quarter of all cancer deaths worldwide are due to lung cancer, making this
disease the leading cause of cancer death among both men and women. The most …
disease the leading cause of cancer death among both men and women. The most …
Diagnostic accuracy of machine learning ai architectures in detection and classification of lung cancer: a systematic review
AC Pacurari, S Bhattarai, A Muhammad, C Avram… - Diagnostics, 2023 - mdpi.com
The application of artificial intelligence (AI) in diagnostic imaging has gained significant
interest in recent years, particularly in lung cancer detection. This systematic review aims to …
interest in recent years, particularly in lung cancer detection. This systematic review aims to …
Review paper on research direction towards cancer prediction and prognosis using machine learning and deep learning models
Cancer is characterized as a heterogeneous disease of various types. The early detection
and prognosis of a cancer type have turned into a major requirement, as it facilitates …
and prognosis of a cancer type have turned into a major requirement, as it facilitates …