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Fruit classification using computer vision and feedforward neural network

Journal of food engineering, 2014-12, Vol.143, p.167-177

2014

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Classification of fruits using computer vision and a multiclass support vector machine

Sensors (Basel, Switzerland), 2012-09, Vol.12 (9), p.12489-12505

2012

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Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features

Frontiers in oncology, 2023-10, Vol.13, p.1258970-1258970

2023

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Instrumental and sensory properties of pea protein-fortified extruded rice snacks

Food research international, 2017-12, Vol.102, p.658-665

2017

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Color and Geometry Texture Descriptors for Point-Cloud Quality Assessment

IEEE signal processing letters, 2021, Vol.28, p.1150-1154

2021

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Quantitative computed tomography predicts outcomes in idiopathic pulmonary fibrosis

Respirology (Carlton, Vic.), 2022-12, Vol.27 (12), p.1045-1053

2022

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Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns

IEEE transactions on medical imaging, 2010-02, Vol.29 (2), p.559-569

2010

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Online palmprint identification

IEEE transactions on pattern analysis and machine intelligence, 2003-09, Vol.25 (9), p.1041-1050

2003

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Texture analysis for chemotherapy response evaluation in osteosarcoma using MR imaging

NMR in biomedicine, 2021-02, Vol.34 (2), p.e4426-n/a

2021

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Why should traceology learn from dental microwear, and vice-versa?

Journal of archaeological science, 2019-10, Vol.110, p.105012, Article 105012

2019

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Texture analysis and classification using shortest paths in graphs

Pattern recognition letters, 2013-08, Vol.34 (11), p.1314-1319

2013

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Colored Texture Analysis Fuzzy Entropy Methods with a Dermoscopic Application

Entropy (Basel, Switzerland), 2022-06, Vol.24 (6), p.831

2022

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Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm

IEEE transactions on pattern analysis and machine intelligence, 2003-12, Vol.25 (12), p.1631-1639

2003

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Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images

IEEE transactions on biomedical engineering, 2008-07, Vol.55 (7), p.1822-1830

2008

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Texture Analysis and Classification With Linear Regression Model Based on Wavelet Transform

IEEE transactions on image processing, 2008-08, Vol.17 (8), p.1421-1430

2008

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Comparative multi-parameters approach to dissect texture subcomponents of highbush blueberry cultivars at harvest and postharvest

Postharvest biology and technology, 2022-01, Vol.183, p.111696, Article 111696

2022

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Image texture analysis: methods and comparisons

Chemometrics and intelligent laboratory systems, 2004-06, Vol.72 (1), p.57-71

2004

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Geometric Feature Extraction by a Multimarked Point Process

IEEE transactions on pattern analysis and machine intelligence, 2010-09, Vol.32 (9), p.1597-1609

2010

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Regularity Analysis for Patterned Texture Inspection

IEEE transactions on automation science and engineering, 2009-01, Vol.6 (1), p.131-144

2009

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ADC texture—An imaging biomarker for high‐grade glioma?

Medical physics (Lancaster), 2014-10, Vol.41 (10), p.101903-n/a

2014

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Efficient texture analysis of SAR imagery

IEEE transactions on geoscience and remote sensing, 2005-09, Vol.43 (9), p.2075-2083

2005

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Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer

Medical physics (Lancaster), 2014-03, Vol.41 (3), p.033502-n/a

2014

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Perceptually uniform color spaces for color texture analysis: an empirical evaluation

IEEE transactions on image processing, 2001-06, Vol.10 (6), p.932-937

Paschos, G.

2001

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Automated prostate cancer detection using T2‐weighted and high‐b‐value diffusion‐weighted magnetic resonance imaging

Medical physics (Lancaster), 2015-05, Vol.42 (5), p.2368-2378

2015

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Automatic Human Knee Cartilage Segmentation From 3-D Magnetic Resonance Images

IEEE transactions on biomedical engineering, 2010-11, Vol.57 (11), p.2699-2711

2010

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Fruit classification using computer vision and feedforward neural network

Classification of fruits using computer vision and a multiclass support vector machine

Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features

Instrumental and sensory properties of pea protein-fortified extruded rice snacks

Color and Geometry Texture Descriptors for Point-Cloud Quality Assessment

Quantitative computed tomography predicts outcomes in idiopathic pulmonary fibrosis

Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns

Online palmprint identification

Texture analysis for chemotherapy response evaluation in osteosarcoma using MR imaging

Why should traceology learn from dental microwear, and vice-versa?

Texture analysis and classification using shortest paths in graphs

Colored Texture Analysis Fuzzy Entropy Methods with a Dermoscopic Application

Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm

Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images

Texture Analysis and Classification With Linear Regression Model Based on Wavelet Transform

Comparative multi-parameters approach to dissect texture subcomponents of highbush blueberry cultivars at harvest and postharvest

Image texture analysis: methods and comparisons

Geometric Feature Extraction by a Multimarked Point Process

Regularity Analysis for Patterned Texture Inspection

ADC texture—An imaging biomarker for high‐grade glioma?

Efficient texture analysis of SAR imagery

Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer

Perceptually uniform color spaces for color texture analysis: an empirical evaluation

Automated prostate cancer detection using T2‐weighted and high‐b‐value diffusion‐weighted magnetic resonance imaging

Automatic Human Knee Cartilage Segmentation From 3-D Magnetic Resonance Images

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