The Imaging Science Journal, Volume 70, Issue 4 (2022)

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The Imaging Science Journal, Volume 70, Issue 4 (2022)

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Research Articles

Article
Sexing from the orbital measurements using computed tomography images and discriminant function analysis in Turkish population
Orhan Meral, Belkis Betul Toklu, Reyhan Meydan, Ahsen Kaya, Beytullah Karadayı & Turker Acar
Pages: 207-213
Published online: 16 Jan 2023
AbstractforSexing from the orbital measurements using computed tomography images and discriminant function analysis in Turkish population | Full Text | References | PDF (886.9 KB) | EPUB
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Article
Prostate cancer classification with MRI using Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network
Goddumarri Vijay Kumar, Mohammed Ismail Bellary & Thota Bhaskara Reddy
Pages: 214-227
Published online: 09 Mar 2023
AbstractforProstate cancer classification with MRI using Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network | Full Text | References | PDF (2.5 MB) | EPUB
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Article
Age group classification based on Bins of Gradients over Gradient Hessianspace facial images
M. Annalakshmi & S. Mohamed Mansoor Roomi
Pages: 228-237
Published online: 12 Jan 2023
AbstractforAge group classification based on Bins of Gradients over Gradient Hessianspace facial images | Full Text | References | PDF (2.3 MB) | EPUB
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Article
Grey wolf optimization (GWO) with the convolution neural network (CNN)-based pattern recognition system
Aatif Jamshed, Bhawna Mallick & Rajendra Kumar Bharti
Pages: 238-252
Published online: 18 Jan 2023
AbstractforGrey wolf optimization (GWO) with the convolution neural network (CNN)-based pattern recognition system | Full Text | References | PDF (2.3 MB) | EPUB
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Article
Internal quality assessment of mango fruit: an automated grading system with ensemble classifier
Mukesh Kumar Tripathi & Dhananjay D. Maktedar
Pages: 253-272
Published online: 10 Feb 2023
AbstractforInternal quality assessment of mango fruit: an automated grading system with ensemble classifier | Full Text | References | PDF (3.8 MB) | EPUB
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