Results 131 to 140 of about 3,761,924 (343)

Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data [PDF]

arXiv, 2018
Traditional machine learning algorithms using hand-crafted feature extraction techniques (such as local binary pattern) have limited accuracy because of high variation in images of the same class (or intra-class variation) for food recognition task. In recent works, convolutional neural networks (CNN) have been applied to this task with better results ...
arxiv  

Apparent zinc absorption by rats from foods labelled intrinsically and extrinsically with ⁶⁷Zn [PDF]

, 1991
Susan J. Fairweather‐Tait, Thomas E. Fox, S. Gabrielle Wharf, John Eagles, Helen M. Crews, R. C. Massey   +5 more
openalex   +1 more source

Sex‐Related Differences in Efficacy and Safety Outcomes in Axial Spondyloarthritis Randomized Clinical Trials: A Systematic Literature Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao, Jordi Pardo Pardo, Steven Dang, Lianne S. Gensler, Philip Mease, Lihi Eder   +5 more
wiley   +1 more source

Etiquetado y rotulación de los alimentos en la prevención del sobrepeso y la obesidad: una revisión sistemática Food labeling and the prevention of overweight and obesity: a systematic review

Cadernos de Saúde Pública, 2011
Revisión de los artículos sobre el etiquetado o la rotulación en la prevención de la obesidad y el sobrepeso. Estudio, mediante técnica sistemática, de los trabajos recuperados mediante revisión bibliográfica. Bases de datos consultadas: MEDLINE, EMBASE,
Miren Itxaso Sebastián-Ponce, Javier Sanz-Valero, Carmina Wanden-Berghe   +2 more
doaj   +1 more source

Food literacy & food labeling laws-a legal analysis of India's food policy. [PDF]

J Family Med Prim Care, 2023
Bera OP, Singh R, Bhattacharya S.
europepmc   +1 more source

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

Advanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi, Anjali Kumari, Samaneh Ghadami, Saqer Al Abdullah, Kristen Dellinger   +4 more
wiley   +1 more source

Food Labeling [PDF]

, 1991

openalex   +1 more source

A Novel Protein‐Polysaccharide Oral Nanoemulsion Targeting Activated Hepatic Stellate Cells to Enhance the Therapeutic Effect of Pirfenidone on Fibrosis After Transarterial Chemoembolization for Liver Cancer

Advanced Functional Materials, EarlyView.
Transarterial Chemoembolization (TACE) may aggravate liver fibrosis. In this study, a novel oral targeting nanoemulsion is fabricated to enhance the therapeutic effect of antifibrotic drug‐pirfenidone (PFD) on fibrosis after TACE. Studies have shown that PFD nanoemulsion can enhance the oral liver targeting effect of PFD, and effectively improve the ...
Zhimei Cheng, Shan Xu, Yi Lei, Huizhou He, Runbin Sun, Xingle Jin, Cheneryu Huang, Yuhao Zheng, Jianqing Peng, Lei Tang, Peng Luo, Yi Chen, Shuai Zhang   +12 more
wiley   +1 more source

Assessment of food labeling knowledge and associated reading barriers among patients with diabetes. [PDF]

J Family Med Prim Care, 2023
Alshahrani AM, Batais MA, Mujammami MH, Alrasheed AA, Almigbal TH, Aljulifi MZ, Aldosari AK, Almaflehi N.   +7 more
europepmc   +1 more source

ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition [PDF]

arXiv, 2017
In this paper, we introduce a new and challenging large-scale food image dataset called "ChineseFoodNet", which aims to automatically recognizing pictured Chinese dishes. Most of the existing food image datasets collected food images either from recipe pictures or selfie.
arxiv