Results 181 to 190 of about 6,680,437 (239)

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros, George Patatoukas, Nikos Kollaros, Marina Chalkia, Andromachi Kougioumtzopoulou, Vasilios Kouloulias, Kalliopi Platoni   +6 more
wiley   +1 more source

Automatic detection of gastrointestinal system abnormalities using deep learning-based segmentation and classification methods. [PDF]

Health Inf Sci Syst
Şener A, Ergen B.
europepmc   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

An integrated deep learning model for early and multi-class diagnosis of Alzheimer's disease from MRI scans. [PDF]

Sci Rep
Vinukonda ER, Jagadesh BN.
europepmc   +1 more source

Dose rate correction of a diode array for universal wedge field dosimetric verification

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen, Mengyang Li, Guiyuan Li, Xinyuan Chen, Shouping Xu, Jianrong Dai, Yuan Tian   +6 more
wiley   +1 more source

KNN algorithm for accurate identification of IFP lesions in the knee joint: a multimodal MRI study. [PDF]

Sci Rep
Zhou P, Liu Z, Dai J, Yang M, Sui H, Huang Z, Li Y, Song L.   +7 more
europepmc   +1 more source

Dosimetric effect of silicone‐based gel on skin surface during volumetric modulated arc therapy for breast cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to quantify and compare the dosimetric effects of varying thicknesses of StrataXRT, a silicone‐based gel, and other topical agents on the skin surface during volumetric modulated arc therapy (VMAT) for breast cancer.
Tenyoh Suzuki, Shingo Ohira, Mami Ogita, Takeshi Ohta, Yuki Nozawa, Masanari Minamitani, Takuya Hayashi, Shigeki Saegusa, Toshikazu Imae, Tsuyoshi Ueyama, Atsuto Katano, Hideomi Yamashita, Weishan Chang, Keiichi Nakagawa   +13 more
wiley   +1 more source

Optimizing Backbone Networks Through Hybrid-Modal Fusion: A New Strategy for Waste Classification. [PDF]

Sensors (Basel)
Zhou H, Ding Q, Chen C, Liao Q, Wang Q, Yu H, Hu H, Zhang G, Hu J, He T.   +9 more
europepmc   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization. [PDF]

Sci Rep
Thatha VN, Karthik MG, Gaddam VG, Krishna DP, Venkataramana S, Lella KK, Pamula U.   +6 more
europepmc   +1 more source