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Miguel Monteiro, Francisco Vale, Nuno Ferreira, Filipa Marques, Madalena Prata Ribeiro, Mariana Santos, Catarina Oliveira, Mariana McEvoy, Raquel Travassos, Catarina Nunes, Anabela Baptista Paula, Inês Francisco and Francisco Caramelo
The development of this co-registration method that combines CBCT with photographic images and subsequent realistic image reconstruction can be used during the orthognathic surgical planning stage. Therefore, both orthodontists and maxillofacial surgeons...
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Gang Lei, Tianle Liu, Qinzhuo Liao and Xupeng He
Digital rock physics (DRP) has been widely used as an effective approach for estimating the permeability of porous media. However, conventional implementation of DRP requires the reconstruction of three-dimensional (3D) pore networks, which suffer from i...
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Inayatul Haq, Najib Ullah, Tehsen Mazhar, Muhammad Amir Malik and Iqra Bano
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Cheng-Jian Lin, Shiou-Yun Jeng and Mei-Kuei Chen
Lung cancer is one of the common causes of cancer deaths. Early detection and treatment of lung cancer is essential. However, the detection of lung cancer in patients produces many false positives. Therefore, increasing the accuracy of the classification...
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Hanane Allioui,Mohamed Sadgal,Aziz El Fazziki
Pág. 143 - 155
In this paper, we present a solution-based cooperation approach for strengthening the image segmentation.This paper proposes a cooperative method relying on Multi-Agent System. The main contribution of this work is to highlight the importa...
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Matteo Bodini
The task of facial landmark extraction is fundamental in several applications which involve facial analysis, such as facial expression analysis, identity and face recognition, facial animation, and 3D face reconstruction. Taking into account the most rec...
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Jiantao Gao, Jingting Zhang, Chang Liu, Xiaomao Li and Yan Peng
Water segmentation is essential for the autonomous driving system of unmanned surface vehicles (USVs), which provides reliable navigation for making safety decisions. However, existing methods have only used monocular images as input, which often suffer ...
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Birgitta Dresp-Langley and Marie Monfouga
Pieron?s and Chocholle?s seminal psychophysical work predicts that human response time to information relative to visual contrast and/or sound frequency decreases when contrast intensity or sound frequency increases. The goal of this study is to bring to...
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Ali K. Saleh, Zafer Sakka and Hasan Almuhanna
The early condition-based assessment of civil infrastructures plays an essential role in extending their service life, preventing undesirable sudden failures, and reducing maintenance and rehabilitation costs. One of the most commonly used and fastest no...
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Xianghan Wang, Jie Jiang, Yanming Guo, Lai Kang, Yingmei Wei and Dan Li
Precise 3D hand pose estimation can be used to improve the performance of human?computer interaction (HCI). Specifically, computer-vision-based hand pose estimation can make this process more natural. Most traditional computer-vision-based hand pose esti...
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Damian Valdés-Santiago, Angela M. León-Mecías, Marta Lourdes Baguer Díaz-Romañach, Antoni Jaume-i-Capó, Manuel González-Hidalgo and Jose Maria Buades Rubio
This contribution presents a wavelet-based algorithm to detect patterns in images. A two-dimensional extension of the DST-II is introduced to construct adapted wavelets using the equation of the tensor product corresponding to the diagonal coefficients i...
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Jeyun Yang and Youngsang Kwon
Artificial intelligence (AI) has demonstrated its ability to complete complex tasks in various fields. In urban studies, AI technology has been utilized in some limited domains, such as control of traffic and air quality. This study uses AI to better und...
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Nobuhiro Hayashi, Yoshihide Sawada, Kei Ujimoto, Syunta Yamaguchi, Yoshikuni Sato, Takahiro Miki, Toru Nakada and Toshiaki Iba
An accuracy of =98% was achieved in sepsis diagnosis using serum samples from 30 sepsis patients and 68 healthy individuals and a high-performance two-dimensional polyacrylamide gel electrophoresis (HP-2D-PAGE) method developed here with deep learning an...
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Kai Li, Quan Liu, Yuan Tian, Cong Du and Zhixiang Xu
Asphalt mixtures exhibit complex mechanical behaviors due to their multiphase internal structures. To provide better characterizations of asphalt pavements under various forms of potential distress, a two-dimensional (2D) finite element simulation based ...
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Armando Levid Rodríguez-Santiago, José Aníbal Arias-Aguilar, Hiroshi Takemura and Alberto Elías Petrilli-Barceló
In this paper, an approach through a Deep Learning architecture for the three-dimensional reconstruction of outdoor environments in challenging terrain conditions is presented. The architecture proposed is configured as an Autoencoder. However, instead o...
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Carmine Guida, Ming Zhang and Juan Shan
Osteoarthritis (OA) is the most common form of arthritis and can often occur in the knee. While convolutional neural networks (CNNs) have been widely used to study medical images, the application of a 3-dimensional (3D) CNN in knee OA diagnosis is limite...
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Liang Li, Tatsuro Yamada and Woong Choi
Visual complexity, as an attribute of images related to human perception, has been widely studied in computer science and psychology. In conventional studies, the research objects have been limited to the traditional two-dimensional (2D) patterns or imag...
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Seounggeun Kim, Haejun Moon, Jaehoon Oh, Yonghak Lee, Hyun Kwon and Sunghwan Kim
Automatic garment size measurement approaches using computer vision algorithms have been attempted in various ways, but there are still many limitations to overcome. One limitation is that the process involves 2D images, which results in constraints in t...
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