Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical …

L Boldrini, A D'Aviero, F De Felice, I Desideri… - La radiologia …, 2024 - Springer
Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …

Current role of delta radiomics in head and neck oncology

DC Marcu, C Grava, LG Marcu - International Journal of Molecular …, 2023 - mdpi.com
The latest developments in the management of head and neck cancer show an increasing
trend in the implementation of novel approaches using artificial intelligence for better patient …

[HTML][HTML] A Multidimensional Framework Incorporating 2D U-Net and 3D Attention U-Net for the Segmentation of Organs from 3D Fluorodeoxyglucose-Positron …

A Vezakis, I Vezakis, TP Vagenas, I Kakkos… - Electronics, 2024 - mdpi.com
Accurate analysis of Fluorodeoxyglucose (FDG)-Positron Emission Tomography (PET)
images is crucial for the diagnosis, treatment assessment, and monitoring of patients …

Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck Cancer

I Kakkos, TP Vagenas, A Zygogianni, GK Matsopoulos - Bioengineering, 2024 - mdpi.com
The delineation of parotid glands in head and neck (HN) carcinoma is critical to assess
radiotherapy (RT) planning. Segmentation processes ensure precise target position and …

Image Guided Radiotherapy (IGRT) and Delta (Δ) Radiomics—An Urgent Alliance for the Front Line of the War against Head and Neck Cancers

CC Mireștean, RI Iancu, DPT Iancu - Diagnostics, 2023 - mdpi.com
The identification of a biomarker that is response predictive could offer a solution for the
stratification of the treatment of head and neck cancers (HNC) in the context of high …

[HTML][HTML] Longitudinal Image Data for Outcome Modeling

JE van Timmeren, J Bussink, P Koopmans, RJ Smeenk… - Clinical Oncology, 2024 - Elsevier
In oncology, medical imaging is crucial for diagnosis, treatment planning and therapy
execution. Treatment responses can be complex and varied and are known to involve …

[HTML][HTML] Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based radiomics in head and neck cancers: a systematic review …

M Ismail, MAM Hanifa, EIM Mahidin… - … Imaging in Medicine …, 2024 - pmc.ncbi.nlm.nih.gov
Background Cone beam computed tomography (CBCT) and megavoltage computed
tomography (MVCT)-based images demonstrate measurable radiomics features that are …

Predicting the need for a replan in oropharyngeal cancer: A radiomic, clinical, and dosimetric model

TA Chinnery, P Lang, AC Nichols… - Medical …, 2024 - Wiley Online Library
Background Patients with oropharyngeal cancer (OPC) treated with chemoradiation can
experience weight loss and tumor shrinkage, altering the prescribed treatment. Treatment …

PRIMENA SAVREMENIH RAČUNARSKIH METODA U DIJAGNOSTICI I LEČENJU KARCINOMA LARINKSA

S Valjarević, M Jovanović, I Pantić - Medicinski podmladak, 2023 - aseestant.ceon.rs
Sažetak Rana detekcija bolesti i tačna procena proširenosti od najvećeg su značaja za tok
lečenja i prognozu karcinoma larinksa. Alati bazirani na mašinskom učenju i veštačkoj …

[PDF][PDF] Application of contemporary computer methods in laryngeal cancer diagnosis and treatment

S Valjarević, M Jovanović, I Pantić - Medicinski podmladak, 2023 - researchgate.net
Early detection of disease and accurate assessment of its extent are of paramount
importance for the course of treatment and prognosis of larynx cancer. Machine learning and …