Zobrazeno 1 - 10
of 410
pro vyhledávání: '"Recurrence Prediction"'
Publikováno v:
Journal of the Egyptian National Cancer Institute, Vol 36, Iss 1, Pp 1-11 (2024)
Abstract Background The goal is to use three different machine learning models to predict the recurrence of breast cancer across a very heterogeneous sample of patients with varying disease kinds and stages. Methods A heterogeneous group of patients
Externí odkaz:
https://doaj.org/article/afa61d5b950e4b9cbbd3fdcea999f814
Autor:
Xuanzhi Yan, Yicheng Li, Wanying Qin, Jiayi Liao, Jiaxing Fan, Yujin Xie, Zewen Wang, Siming Li, Weijia Liao
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Although radical surgical resection is the most effective treatment for hepatocellular carcinoma (HCC), the high rate of postoperative recurrence remains a major challenge, especially in patients with alpha-fetoprotein (AFP)-negat
Externí odkaz:
https://doaj.org/article/309cb76e84c24616b6e3cae3839f8ed2
Autor:
Feyza Firat Atay, Fatma Hilal Yagin, Cemil Colak, Emin Tamer Elkiran, Nasrin Mansuri, Fuzail Ahmad, Luca Paolo Ardigò
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundDifferentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy with a recurrence rate of about 20%, necessitating better predictive methods for patient management. This study aims to create a relational classification model
Externí odkaz:
https://doaj.org/article/ecccc2b10fe64354831493486686b4b9
Publikováno v:
BMC Ophthalmology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background To predict, using deep learning, the first recurrence in patients with neovascular age-related macular degeneration (nAMD) after three monthly loading injections of intravitreal anti-vascular endothelial growth factor (anti-VEGF).
Externí odkaz:
https://doaj.org/article/06185b441c5a470389b39187ac985915
Autor:
Yannick Teumer, Luca Gold, Lyuboslav Katov, Carlo Bothner, Wolfgang Rottbauer, Karolina Weinmann-Emhardt
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 11, Iss 10, p 334 (2024)
The incidence of left atrial (LA) supraventricular arrhythmias is increasing. Even after LA ablation, recurrence of these tachycardias is common. MRI studies show that LA cardiomyopathy is a significant risk factor for recurrence and correlates with
Externí odkaz:
https://doaj.org/article/80abd34b5ac14b71a83e0b72e3f56d12
Autor:
Ines Block, Mark Burton, Kristina P. Sørensen, Martin J. Larsen, Thi T. N. Do, Martin Bak, Søren Cold, Mads Thomassen, Qihua Tan, Torben A. Kruse
Publikováno v:
Cancer Medicine, Vol 13, Iss 9, Pp n/a-n/a (2024)
Abstract Background Current clinical markers overestimate the recurrence risk in many lymph node negative (LNN) breast cancer (BC) patients such that a majority of these low‐risk patients unnecessarily receive systemic treatments. We tested if diff
Externí odkaz:
https://doaj.org/article/f87c4fa2f826470a8dde22579f310ce2
Autor:
Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Guilherme Del Fiol, Martín López-Nores
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5909 (2024)
Accurate and early prediction of breast cancer recurrence is crucial to guide medical decisions and treatment success. Machine learning (ML) has shown promise in this domain. However, its effectiveness critically depends on proper hyperparameter sett
Externí odkaz:
https://doaj.org/article/d0fe706f11dd46c6b5f4bd7b48036b64
Autor:
Arpita Dutta, Joseph Chan, Annette Haworth, David J. Dubowitz, Andrew Kneebone, Hayley M. Reynolds
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 29, Iss , Pp 100530- (2024)
Background and purpose: Radiomic features from MRI and PET are an emerging tool with potential to improve prostate cancer outcomes. However, feature robustness due to image segmentation variations is currently unknown. Therefore, this study aimed to
Externí odkaz:
https://doaj.org/article/80cd240693ef43b6a130939871e4eee8
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Akademický článek
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