Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Justin D. Krogue"'
Autor:
Justin D. Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S. Corrado, Lily H. Peng, Craig H. Mermel, Yun Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F. Steiner, Ellery Wulczyn
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-9 (2023)
Abstract Background Presence of lymph node metastasis (LNM) influences prognosis and clinical decision-making in colorectal cancer. However, detection of LNM is variable and depends on a number of external factors. Deep learning has shown success in
Externí odkaz:
https://doaj.org/article/05e3699f48ec4fbbbf46c7ae3d19fa89
Publikováno v:
The Journal of bone and joint surgery. American volume. 104(18)
In the not-so-distant future, orthopaedic surgeons will be exposed to machines that begin to automatically "read" medical imaging studies using a technology called deep learning.Deep learning has demonstrated remarkable progress in the analysis of me
Autor:
Jennifer Tangtiphaiboontana, Joseph T. Patterson, Derek Ward, Thomas P. Vail, Trevor R. Grace, Justin D. Krogue
Publikováno v:
The Journal of Arthroplasty. 33:1681-1685
The purpose of this study is to determine whether episode Target Prices in the Bundled Payment for Care Improvement (BPCI) initiative sufficiently match the complexities and expenses expected for patients undergoing hip arthroplasty for femoral neck
Autor:
Justin D. Krogue, Francesco Caliva, Sharmila Majumdar, Claudia Iriondo, Valentina Pedoia, Kaiyang Cheng
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322250
MICCAI (6)
MICCAI (6)
The use of semantic segmentation for masking and cropping input images has proven to be a significant aid in medical imaging classification tasks by decreasing the noise and variance of the training dataset. However, implementing this approach with c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bce288e8d0c334ca9c67a6eef1a10c
https://doi.org/10.1007/978-3-030-32226-7_50
https://doi.org/10.1007/978-3-030-32226-7_50
Autor:
Musa Zaid, Kevin A. Padrez, Eugene Ozhinsky, Kevin M. Hwang, Kevin C. McGill, Alexandra Wright, Eric G. Meinberg, Erik J. Geiger, Jae Ho Sohn, Paul Toogood, Bryan F. Darger, Rina Patel, Valentina Pedoia, Kaiyang Cheng, Justin D. Krogue, Sharmila Majumdar
Publikováno v:
Radiology. Artificial intelligence, vol 2, iss 2
Radiol Artif Intell
Radiol Artif Intell
Purpose: Hip fractures are a common cause of morbidity and mortality. Automatic identification and classification of hip fractures using deep learning may improve outcomes by reducing diagnostic errors and decreasing time to operation. Methods: Hip a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb41a148502125936eb7eb7fdadf437
Publikováno v:
Journal of shoulder and elbow surgery. 24(4)
Background This study was performed to identify factors associated with the need for revision surgery after in situ decompression of the ulnar nerve for cubital tunnel syndrome. Methods This case-control investigation examined all patients treated at
Publikováno v:
Handchirurgie Scan. :113-114
Publikováno v:
The Journal of hand surgery. 39(11)
Purpose To compare both validated patient-rated and objective outcomes of patients following revision cubital tunnel surgery to a similar group of patients who underwent primary surgery. Methods This case-control investigation enrolled 56 patients tr
Publikováno v:
Journal of Shoulder and Elbow Surgery. 24:994
Publikováno v:
The Journal of Hand Surgery. 39:e29