Follow-up of head and neck cancer survivors: tipping the balance of intensity

P Szturz, C Van Laer, C Simon, D Van Gestel… - Frontiers in …, 2020 - frontiersin.org
The traditional concept of post-treatment surveillance in head and neck cancer patients
relies on examinations directed at early detection of disease recurrence and/or second …

Artificial intelligence for early detection of chest nodules in X-ray images

HY Chiu, RHT Peng, YC Lin, TW Wang, YX Yang… - Biomedicines, 2022 - mdpi.com
Early detection increases overall survival among patients with lung cancer. This study
formulated a machine learning method that processes chest X-rays (CXRs) to detect lung …

Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test

Y Myong, D Yoon, BS Kim, YG Kim, Y Sim, S Lee… - Plos one, 2023 - journals.plos.org
Background Accurate interpretation of chest radiographs requires years of medical training,
and many countries face a shortage of medical professionals to meet such requirements …

[HTML][HTML] Navigating patient journey in early diagnosis of lung cancer in India

B Biswas, D Talwar, P Meshram, PK Julka, A Mehta… - Lung India, 2023 - journals.lww.com
Lung cancer (LC) is one of the leading causes of cancer deaths worldwide. In India, the
incidence of LC is increasing rapidly, and a majority of the patients are diagnosed at …

A histogram-based low-complexity approach for the effective detection of COVID-19 disease from CT and X-ray images

M Scarpiniti, S Sarv Ahrabi, E Baccarelli, L Piazzo… - Applied Sciences, 2021 - mdpi.com
The global COVID-19 pandemic certainly has posed one of the more difficult challenges for
researchers in the current century. The development of an automatic diagnostic tool, able to …

Feasibility and acceptability of a community pharmacy referral service for suspected lung cancer symptoms

D Holland-Hart, GM McCutchan… - BMJ Open …, 2021 - bmjopenrespres.bmj.com
Background Lung cancer survival rates in the UK are among the lowest in Europe,
principally due to late-stage diagnosis. Alternative routes to earlier diagnosis of lung cancer …

Deep mining generation of lung cancer malignancy models from chest X-ray images

M Horry, S Chakraborty, B Pradhan, M Paul, D Gomes… - Sensors, 2021 - mdpi.com
Lung cancer is the leading cause of cancer death and morbidity worldwide. Many studies
have shown machine learning models to be effective in detecting lung nodules from chest X …

Lung ct image segmentation using reinforcement learning

P Gheysari, M Fateh, M Rezvani - International Journal on Artificial …, 2021 - World Scientific
Nowadays, lung disease is a major global problem in the world. Many of the lung diseases
are untreatable and reduce the life span of the individual. Initial diagnosis of these diseases …

Automatic generation of interpretable lung cancer scoring models from chest X-Ray images

MJ Horry, S Chakraborty, B Pradhan, M Paul… - 2021 - opus.lib.uts.edu.au
Lung cancer is the leading cause of cancer death worldwide with early detection being the
key to a positive patient prognosis. Although a multitude of studies have demonstrated that …

[PDF][PDF] Artificial Intelligence for Early Detection of Chest Nodules in X-ray Images. Biomedicines 2022, 10, 2839

HY Chiu, RHT Peng, YC Lin, TW Wang, YX Yang… - 2022 - academia.edu
Early detection increases overall survival among patients with lung cancer. This study
formulated a machine learning method that processes chest X-rays (CXRs) to detect lung …