Search Results - "Journal of imaging"

Explainable Deep Learning Models in Medical Image Analysis by Singh, Amitojdeep, Sengupta, Sourya, Lakshminarayanan, Vasudevan

“…Deep learning methods have been very effective for a variety of medical diagnostic tasks and have even outperformed human experts on some of those. However,…”
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Hand Gesture Recognition Based on Computer Vision: A Review of Techniques by Oudah, Munir, Al-Naji, Ali, Chahl, Javaan

“…Hand gestures are a form of nonverbal communication that can be used in several fields such as communication between deaf-mute people, robot control,…”
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Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review by Signoroni, Alberto, Savardi, Mattia, Baronio, Annalisa, Benini, Sergio

“…Modern hyperspectral imaging systems produce huge datasets potentially conveying a great abundance of information; such a resource, however, poses many…”
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An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos by Kiran, B., Thomas, Dilip, Parakkal, Ranjith

“…Videos represent the primary source of information for surveillance applications. Video material is often available in large quantities but in most cases it…”
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Data Augmentation in Classification and Segmentation: A Survey and New Strategies by Alomar, Khaled, Aysel, Halil Ibrahim, Cai, Xiaohao

“…In the past decade, deep neural networks, particularly convolutional neural networks, have revolutionised computer vision. However, all deep learning models…”
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Machine Vision Systems in Precision Agriculture for Crop Farming by Mavridou, Efthimia, Vrochidou, Eleni, Papakostas, George A., Pachidis, Theodore, Kaburlasos, Vassilis G.

“…Machine vision for precision agriculture has attracted considerable research interest in recent years. The aim of this paper is to review the most recent work…”
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Deep Learning for Breast Cancer Diagnosis from Mammograms—A Comparative Study by Tsochatzidis, Lazaros, Costaridou, Lena, Pratikakis, Ioannis

“…Deep convolutional neural networks (CNNs) are investigated in the context of computer-aided diagnosis (CADx) of breast cancer. State-of-the-art CNNs are…”
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Breast Tumor Classification Using an Ensemble Machine Learning Method by Assiri, Adel S., Nazir, Saima, Velastin, Sergio A.

“…Breast cancer is the most common cause of death for women worldwide. Thus, the ability of artificial intelligence systems to detect possible breast cancer is…”
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GANs for Medical Image Synthesis: An Empirical Study by Skandarani, Youssef, Jodoin, Pierre-Marc, Lalande, Alain

“…Generative adversarial networks (GANs) have become increasingly powerful, generating mind-blowing photorealistic images that mimic the content of datasets they…”
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Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art by Magadza, Tirivangani, Viriri, Serestina

“…Quantitative analysis of the brain tumors provides valuable information for understanding the tumor characteristics and treatment planning better. The accurate…”
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Evaluating the Performance of Structure from Motion Pipelines by Bianco, Simone, Ciocca, Gianluigi, Marelli, Davide

“…Structure from Motion (SfM) is a pipeline that allows three-dimensional reconstruction starting from a collection of images. A typical SfM pipeline comprises…”
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An Overview of Watershed Algorithm Implementations in Open Source Libraries by Kornilov, Anton, Safonov, Ilia

“…Watershed is a widespread technique for image segmentation. Many researchers apply the method implemented in open source libraries without a deep understanding…”
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Contribution of Remote Sensing on Crop Models: A Review by Kasampalis, Dimitrios, Alexandridis, Thomas, Deva, Chetan, Challinor, Andrew, Moshou, Dimitrios, Zalidis, Georgios

“…Crop growth models simulate the relationship between plants and the environment to predict the expected yield for applications such as crop management and…”
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Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey by Akinyelu, Andronicus A., Zaccagna, Fulvio, Grist, James T., Castelli, Mauro, Rundo, Leonardo

“…Management of brain tumors is based on clinical and radiological information with presumed grade dictating treatment. Hence, a non-invasive assessment of tumor…”
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A Survey of Computer Vision Methods for 2D Object Detection from Unmanned Aerial Vehicles by Cazzato, Dario, Cimarelli, Claudio, Sanchez-Lopez, Jose Luis, Voos, Holger, Leo, Marco

“…The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many applications fields. Most investigated research topics focus on increasing…”
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A Survey of Brain Tumor Segmentation and Classification Algorithms by Biratu, Erena Siyoum, Schwenker, Friedhelm, Ayano, Yehualashet Megersa, Debelee, Taye Girma

“…A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several slices across the 3D anatomical view. Therefore, manual segmentation…”
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Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey by Lakshminarayanan, Vasudevan, Kheradfallah, Hoda, Sarkar, Arya, Jothi Balaji, Janarthanam

“…Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few years, artificial intelligence (AI) based approaches have been used…”
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An Update of the Possible Applications of Magnetic Resonance Imaging (MRI) in Dentistry: A Literature Review by Reda, Rodolfo, Zanza, Alessio, Mazzoni, Alessandro, Cicconetti, Andrea, Testarelli, Luca, Di Nardo, Dario

“…This narrative review aims to evaluate the current evidence for the application of magnetic resonance imaging (MRI), a radiation-free diagnostic exam, in some…”
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Enhanced Region Growing for Brain Tumor MR Image Segmentation by Biratu, Erena Siyoum, Schwenker, Friedhelm, Debelee, Taye Girma, Kebede, Samuel Rahimeto, Negera, Worku Gachena, Molla, Hasset Tamirat

“…A brain tumor is one of the foremost reasons for the rise in mortality among children and adults. A brain tumor is a mass of tissue that propagates out of…”
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Object Recognition in Aerial Images Using Convolutional Neural Networks by Radovic, Matija, Adarkwa, Offei, Wang, Qiaosong

“…There are numerous applications of unmanned aerial vehicles (UAVs) in the management of civil infrastructure assets. A few examples include routine bridge…”
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