Recent advances in the application of deep learning methods to forestry
Y Wang, W Zhang, R Gao, Z Jin, X Wang - Wood science and technology, 2021 - Springer
This paper provides an overview and analysis of the basic theory of deep learning (DL), and
specifically, a number of important algorithms were compared and analyzed. The article …
specifically, a number of important algorithms were compared and analyzed. The article …
[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
An overview of open source deep learning-based libraries for neuroscience
In recent years, deep learning has revolutionized machine learning and its applications,
producing results comparable to human experts in several domains, including …
producing results comparable to human experts in several domains, including …
Using auto-segmentation to reduce contouring and dose inconsistency in clinical trials: the simulated impact on RTOG 0617
Purpose Contouring inconsistencies are known but understudied in clinical radiation
therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group …
therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group …
[HTML][HTML] Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes …
Background and purpose Radiation dose to the cardio-pulmonary system is critical for
radiotherapy-induced mortality in non-small cell lung cancer. Our goal was to automatically …
radiotherapy-induced mortality in non-small cell lung cancer. Our goal was to automatically …
Cardiac radiation dose is associated with inferior survival but not cardiac events in patients with locally advanced non-small cell lung cancer in the era of immune …
Purpose We assessed the association of cardiac radiation dose with cardiac events and
survival post-chemoradiation therapy (CRT) in patients with locally advanced non-small cell …
survival post-chemoradiation therapy (CRT) in patients with locally advanced non-small cell …
Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
Objective. Delineating swallowing and chewing structures aids in radiotherapy (RT)
treatment planning to limit dysphagia, trismus, and speech dysfunction. We aim to develop …
treatment planning to limit dysphagia, trismus, and speech dysfunction. We aim to develop …
[HTML][HTML] Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
Abstract Background and Purpose Reducing trismus in radiotherapy for head and neck
cancer (HNC) is important. Automated deep learning (DL) segmentation and automated …
cancer (HNC) is important. Automated deep learning (DL) segmentation and automated …
Interpretable machine Learning for choosing radiation dose-volume constraints on Cardio-pulmonary substructures associated with overall survival in NRG oncology …
Purpose Our objective was to use interpretable machine learning for choosing dose-volume
constraints on cardiopulmonary substructures (CPSs) associated with overall survival (OS) …
constraints on cardiopulmonary substructures (CPSs) associated with overall survival (OS) …
[HTML][HTML] Death without progression as an endpoint to describe cardiac radiation effects in locally advanced non-small cell lung cancer
N Yegya-Raman, TP Kegelman, SH Lee… - Clinical and …, 2023 - Elsevier
Background and purpose Prior studies have examined associations of cardiovascular
substructure dose with overall survival (OS) or cardiac events after chemoradiotherapy …
substructure dose with overall survival (OS) or cardiac events after chemoradiotherapy …