Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kaiqi Lan"'
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 16 (2024)
Objective: To investigate whether pre-treatment and middle-treatment plasma Epstein–Barr virus (EBV) DNA loads are useful predictors of prognosis and indicators of therapy modification in nasopharyngeal carcinoma (NPC) patients undergoing radical c
Externí odkaz:
https://doaj.org/article/0a75357021954393b2c27db5b370d10a
Publikováno v:
Esophagus : official journal of the Japan Esophageal Society. 18(4)
To develop and validate a nomogram for the prediction of symptomatic radiation pneumonitis (RP) in patients with esophageal squamous cell carcinoma (ESCC) who received definitive concurrent chemoradiotherapy. Clinical factors, dose-volume histogram p
Purpose: To develop and validate a nomogram for the prediction of symptomatic radiation pneumonitis (RP) in patients with esophageal squamous cell carcinoma (ESCC) who received definitive concurrent chemoradiotherapy.Methods: Clinical factors, dose-v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b991d47b8b07d94a0bee624768e62e
https://doi.org/10.21203/rs.3.rs-120618/v1
https://doi.org/10.21203/rs.3.rs-120618/v1
Autor:
Mian Xi, Zizhen Feng, Kaiqi Lan, Yadi Yang, Jinhan Zhu, Jun Zhang, Shi Wang, Li Zhang, Sha Zhou
Publikováno v:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 149
To compare survival outcomes and radiation pneumonitis (RP) between intensity-modulated radiotherapy (IMRT) and three-dimensional conformal radiotherapy (3DCRT) in patients with esophageal cancer (EC) who underwent definitive chemoradiation therapy (
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 906 (2024)
Object detection in remote sensing scenarios plays an indispensable and significant role in civilian, commercial, and military areas, leveraging the power of convolutional neural networks (CNNs). Remote sensing images, captured by crafts and satellit
Externí odkaz:
https://doaj.org/article/b6959861f39a4ea7a627b3469d41c341
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5805 (2022)
Object detection in remote sensing is becoming a conspicuous challenge with the rapidly increasing quantity and quality of remote sensing images. Although the application of Deep Learning has obtained remarkable performance in Computer Vision, detect
Externí odkaz:
https://doaj.org/article/bd6d740f0e2043d195c1dc7433cab0a7
Publikováno v:
Chemosensors, Vol 10, Iss 6, p 217 (2022)
Detecting marine plankton by means of digital holographic microscopy (DHM) has been successfully deployed in recent decades; however, in most previous studies, the identification of the position, shape, and size of plankton has been neglected, which
Externí odkaz:
https://doaj.org/article/52b942248314460486481a442e463ce6