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Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, Meshari Alazmi, Abdulaziz M. Alayba, Adwan Alownie Alanazi, Abdulrahman Alreshidi and Mona Alshahrani
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting from vitreous slides to whole-slide images (WSIs) allows images to be ...
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Sonain Jamil, MuhibUr Rahman and Amir Haider
Coral reefs are the sub-aqueous calcium carbonate structures collected by the invertebrates known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital role in preserving biodiversity, ceasing coastal erosion, and promoti...
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Manikanta Prahlad Manda and Hi Seok Kim
Image thresholding is one of the fastest and most effective methods of detecting objects in infrared images. This paper proposes an infrared image thresholding method based on the functional approximation of the histogram. The one-dimensional histogram o...
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Alessandro Savini, Giacomo Feliciani, Michele Amadori, Stefano Rivetti, Marta Cremonesi, Francesco Cesarini, Tiziana Licciardello, Daniela Severi, Valentina Ravaglia, Alessandro Vagheggini, Anna Sarnelli and Fabio Falcini
Background: Digital breast tomosynthesis (DBT) systems employ a sophisticated set of acquisition parameters to generate an image set, and the DBT acquisition angle is considered to be one of the most important parameters. The aim of this study was to use...
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Sajad Sabzi, Razieh Pourdarbani and Juan Ignacio Arribas
A computer vision system for automatic recognition and classification of five varieties of plant leaves under controlled laboratory imaging conditions, comprising: 1?Cydonia oblonga (quince), 2?Eucalyptus camaldulensis dehn (river red gum), 3?Malus pumil...
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Jianhua Song and Zhe Zhang
In brain magnetic resonance (MR) images, image quality is often degraded due to the influence of noise and outliers, which brings some difficulties for doctors to segment and extract brain tissue accurately. In this paper, a modified robust fuzzy c-means...
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