Results 11 to 20 of about 746,368 (310)
Learning Curves for Decision Making in Supervised Machine Learning: A Survey [PDF]
Machine Learning, Volume 113, pages 8371-8425 (2024), 2022 Learning curves are a concept from social sciences that has been adopted in the context of machine learning to assess the performance of a learning algorithm with respect to a certain resource, e.g., the number of training examples or the number of training iterations.
arxiv +1 more source
Learning curve for arteriovenous fistula creation
Indian Journal of Vascular and Endovascular Surgery, 2021 Objective: Amount of time and number of procedures required in junior surgeon (JS) to achieve arteriovenous fistula (AVF) patency rate of surgeon with 20 years of experience.
Ivan Neretljak +3 more
doaj +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Entry into the field of clinical medical physics is most commonly accomplished through the completion of a Commission on Accreditation of Medical Physics Educational Programs (CAMPEP)‐accredited graduate and residency program. To allow a mechanism to bring valuable expertise from other disciplines into clinical practice in medical physics, an “
Joann I. Prisciandaro +6 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Treatment planning for head‐and‐neck (H&N) cancer, in particular oropharynx, nasopharynx, and paranasal sinus cases, at our center requires noncoplanar proton beams due to the complexity of the anatomy and target location. Targeting accuracy for all beams is carefully evaluated by using image guidance before delivering proton beam ...
Nrusingh C. Biswal +5 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To assess whether the joint application of hybrid iterative reconstruction (HIR) and an adaptive filter (AF) could reduce streak artifacts and improve image quality of neck‐and‐shoulder computed tomography (CT). Methods This study included 96 patients with suspicious neck lesions who underwent a routine nonenhanced scan on a 64‐slice ...
Wenfeng Jin +6 more
wiley +1 more source
Bending the Learning Curve [PDF]
SSRN Electronic Journal, 2015 This paper aims at improving the application of the learning curve, a popular tool used for forecasting future costs of renewable technologies in integrated assessment models (IAMs). First, we formally discuss under what assumptions the traditional (OLS) estimates of the learning curve can deliver meaningful predictions in IAMs.
Jan Witajewski +3 more
openaire +4 more sources
BMJ, 2004 Bridgewater and colleagues have studied the surgical results of surgeons in each of their first four years of independent practice and report that there is a learning curve.1 To explain the concept of a learning curve a surgeon writing in the New Yorker magazine chose for his example the insertion of a central venous line into the subclavian vein by ...
openaire +3 more sources
Retiring the Learning Curve [PDF]
Obesity Surgery, 2009 Tom Chalmers was a great American advocate for the power of metaanalyses and the adjudication of doubt through randomized controlled trials. He was famous for his admonition to randomize with the first patient in a trial and for his abhorrence of the learning curve in clinical therapeutics. A scientific icon, Dr.
Buchwald H, SCOPINARO, NICOLA
openaire +3 more sources
Optimal scheduling in a Collaborative robot environment and evaluating workforce dynamic performance [PDF]
ITM Web of Conferences, 2022 After the emergence of industry 4.0 and the continuous technological development, it became vital for industries to transfer mass production expertise into personalized products in small batches.
Taji Hajar +2 more
doaj +1 more source