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1. Full Text Gastric cancer : Epidemiology, prevention, classification, and treatment
by Sitarz, Robert and Skierucha, Małgorzata and Mielko, Jerzy and Offerhaus, G. Johan A and Maciejewski, Ryszard and Polkowski, Wojciech P
Cancer management and research, ISSN 1179-1322, 02/2018, Volume 10, pp. 239 - 248
Oncology | Treatment | Epidemiology | Gastric cancer | Risk factors | Classification | Life Sciences & Biomedicine | Science & Technology | Prevention | Care and treatment | Usage | Patient outcomes | Research | Diagnosis | Stomach cancer | Cancer | Vegetables | Alcohol | Infections | Radiation therapy | Cancer therapies | Investigations | Fruits | Chemotherapy | Diet | Socioeconomic factors | Medical prognosis | Ulcers | Nonsteroidal anti-inflammatory drugs | Health risk assessment | epidemiology | treatment | risk factors | gastric cancer | classification
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2. Full Text Phylogeny and classification of Rosaceae
by D. Potter and T. Eriksson and R. C. Evans and S. Oh and J. E. E. Smedmark and D. R. Morgan and M. Kerr and K. R. Robertson and M. Arsenault and T. A. Dickinson and C. S. Campbell
Plant systematics and evolution, ISSN 0378-2697, 1/2007, Volume 266, Issue 1/2, pp. 5 - 43
Datasets | Taxa | Chloroplasts | Ploidies | Parsimony | Phylogenetics | Evolution | Phylogeny | Ovaries | Genera | Life Sciences | chromosome number | Plant Anatomy/Development | Plant Systematics/Taxonomy/Biogeography | Pyrodae | Kerriodae | fruit type | Plant Sciences | Rosodae | Plant Ecology | Chromosome number | Fruit type | Nucleotide sequence | Classification | Nucleotides | Bayesian analysis
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3. Full Text A comprehensive review of fruit and vegetable classification techniques
by Hameed, Khurram and Chai, Douglas and Rassau, Alexander
Image and vision computing, ISSN 0262-8856, 12/2018, Volume 80, pp. 24 - 44
Computer vision | Fruit | Produce classification | Classification | Machine learning | Recognition | Vegetable | Engineering | Physical Sciences | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Computer Science, Theory & Methods | Optics | Computer Science, Software Engineering | Science & Technology
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4. Full Text The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing
by Monteiro, Carlos Augusto and Cannon, Geoffrey and Moubarac, Jean-Claude and Levy, Renata Bertazzi and Louzada, Maria Laura C and Jaime, Patrícia Constante
Public health nutrition, ISSN 1368-9800, 01/2018, Volume 21, Issue 1, pp. 5 - 17
Commentary | NOVA | Ultra-processed food | Decade of Nutrition | Food processing | Sustainable Development Goals | The Anthropocene | Public, Environmental & Occupational Health | Life Sciences & Biomedicine | Nutrition & Dietetics | Science & Technology | Health care | Additives | Salts | Seeds | Poultry | Income | Shelf life | Starches | Sustainable development | Fruits | Sustainability | Classification | Biosphere | Nutrients | Population | Malnutrition | Meals | Beverages | Public health | Sugars | Sugar | Milk | Food | Formulations | Obesity | Legumes | High income | Nutrition | Food production | Food products | Preventive medicine | International organizations | Micronutrients | Diet | Food security | Food processing industry | Dietary fiber | Food supply | Index Medicus
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5. Full Text Fruit classification using computer vision and feedforward neural network
by Zhang, Yudong and Wang, Shuihua and Ji, Genlin and Phillips, Preetha
Journal of food engineering, ISSN 0260-8774, 12/2014, Volume 143, pp. 167 - 177
Unser’s texture analysis | Shape feature | Color histogram | Fitness-scaled chaotic artificial bee colony | Feedforward neural network | Unser's texture analysis | Food Science & Technology | Engineering | Engineering, Chemical | Life Sciences & Biomedicine | Technology | Science & Technology | Machine vision | Neural networks | Accuracy | Algorithms | Classification | Images | Feedforward | Texture | Fruits
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6. Full Text Atmospheric pressure chemical ionisation mass spectrometry analysis linked with chemometrics for food classification – A case study: Geographical provenance and cultivar classification of monovarietal clarified apple juices
by Gan, Heng-Hui and Soukoulis, Christos and Fisk, Ian
Food chemistry, ISSN 0308-8146, 03/2014, Volume 146, pp. 149 - 156
Authenticity | Apple | PLS-DA | APCI-MS | Chemometric techniques | Physical Sciences | Chemistry | Life Sciences & Biomedicine | Chemistry, Applied | Nutrition & Dietetics | Food Science & Technology | Science & Technology | Biological and medical sciences | Toxicology | Medical sciences | Food toxicology | Geography | Malus - classification | Beverages - classification | Malus - chemistry | Chemistry Techniques, Analytical - methods | Mass Spectrometry - methods | Beverages - analysis | Discriminant Analysis | Case studies | Juice industry | Mass spectrometry | Analysis | Fruit juices | Acetaldehyde | Index Medicus
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