Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Eman Showkatian"'
Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis
Autor:
Songhui Diao, Pingjun Chen, Eman Showkatian, Rukhmini Bandyopadhyay, Frank R. Rojas, Bo Zhu, Lingzhi Hong, Muhammad Aminu, Maliazurina B. Saad, Morteza Salehjahromi, Amgad Muneer, Sheeba J. Sujit, Carmen Behrens, Don L. Gibbons, John V. Heymach, Neda Kalhor, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Wenjian Qin, Jia Wu
Publikováno v:
Cancers, Vol 15, Iss 19, p 4824 (2023)
Histopathologic whole-slide images (WSI) are generally considered the gold standard for cancer diagnosis and prognosis. Survival prediction based on WSI has recently attracted substantial attention. Nevertheless, it remains a central challenge owing
Externí odkaz:
https://doaj.org/article/7e0ea34899d84f688969cd25a3c8d80a
Autor:
Mohammad Mahdi Moradi, Zahra Siavashpour, Soheib Takhtardeshir, Eman Showkatian, Isaac Shiri, Ramin Jeberi, Reza Ghaderi
The essential step of successful brachytherapy would be precise applicator/needles trajectory detection, which is an open problem yet. This study proposes a two-phase deep learning-based method to automate the localization of high-dose-rate (HDR) pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625f2dfd3635014e5c69ddfd4604dc6e
https://doi.org/10.21203/rs.3.rs-1590410/v1
https://doi.org/10.21203/rs.3.rs-1590410/v1
Publikováno v:
Polish journal of radiology. 87
Purpose: To train a convolutional neural network (CNN) model from scratch to automatically detect tuberculosis (TB) from chest X-ray (CXR) images and compare its performance with transfer learning based technique of different pre-trained CNNs. Materi