Results 41 to 50 of about 210,890 (261)

Learning Tone Curves for Local Image Enhancement

IEEE Access, 2022
Image enhancement methods can be formulated as global transformations, local transformations, pixel-wise processing, or a mixture of these operations. Global transformations are limited in enhancing local image regions.
Luxi Zhao, Abdelrahman Abdelhamed, Michael S. Brown   +2 more
doaj   +1 more source

Learning Curve of Speech Recognition [PDF]

Journal of Digital Imaging, 2013
Speech recognition (SR) speeds patient care processes by reducing report turnaround times. However, concerns have emerged about prolonged training and an added secretarial burden for radiologists. We assessed how much proofing radiologists who have years of experience with SR and radiologists new to SR must perform, and estimated how quickly the new ...
Koivikko Mika P., Kauppinen Tomi A., Koivikko Mika P., Kauppinen Tomi A.   +3 more
openaire   +2 more sources

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Human professional skills assessment based on a modified learning curve model

Production and Manufacturing Research: An Open Access Journal
The rapid development of automation and digital technologies poses significant challenges and opportunities for the future of work. One of the key issues is keeping the Human-in-the-loop while enhancing workers´ professional skills to adapt to the ...
Angela Lago Alvarez, Wael M. Mohammed, Jose Luis Martinez Lastra   +2 more
doaj   +1 more source

Predicting stress–strain curves using transfer learning: Knowledge transfer across polymer composites

Materials & Design, 2022
The engineering stress–strain curve of a material allows one to determine mechanical properties such as elastic modulus, strength, and toughness. While machine learning has recently been used to predict stress–strain curves, large volumes of experimental
Ziyang Zhang, Qingyang Liu, Dazhong Wu
doaj   +1 more source

Learning Curve Theory

CoRR, 2021
Recently a number of empirical "universal" scaling law papers have been published, most notably by OpenAI. `Scaling laws' refers to power-law decreases of training or test error w.r.t. more data, larger neural networks, and/or more compute. In this work we focus on scaling w.r.t. data size $n$.
openaire   +2 more sources

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Twelve Tips for using Learning Curves in Health Professions Education Research [version 1; peer review: 3 approved]

MedEdPublish, 2023
Learning curves can be used to design, implement, and evaluate educational interventions. Attention to key aspects of the method can improve the fidelity of this representation of learning as well as its suitability for education and research purposes ...
Neva Howard, Kathy Boutis, Roger Edwards, Martin Pusic, Seth Alexander   +4 more
doaj   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Assessing the behavior of machine learning methods to predict the activity of antimicrobial peptides

Revista Facultad de Ingeniería, 2016
This study demonstrates the importance of obtaining statistically stable results when using machine learning methods to predict the activity of antimicrobial peptides, due to the cost and complexity of the chemical processes involved in cases where ...
Francy Liliana Camacho, Rodrigo Torres-Sáez, Raúl Ramos-Pollán   +2 more
doaj   +1 more source