Suchergebnisse - "Deep Learning Algorithms"

Review of Deep Learning Algorithms and Architectures von Shrestha, Ajay, Mahmood, Ausif

“… Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas such as cancer diagnosis, precision …”
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DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains von Ćiprijanović, A, Kafkes, D, Downey, K, Jenkins, S, Perdue, G N, Madireddy, S, Johnston, T, Snyder, G F, Nord, B

“… In astronomy, neural networks are often trained on simulation data with the prospect of being used on telescope observations. Unfortunately, training a model …”
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Medical image analysis using deep learning algorithms von Li, Mengfang, Jiang, Yuanyuan, Zhang, Yanzhou, Zhu, Haisheng

“… ) approaches designed to address the difficulties faced in medical healthcare, particularly focusing on the use of deep learning algorithms in medical image analysis …”
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Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal von Xie, H. N., Wang, N., He, M., Zhang, L. H., Cai, H. M., Xian, J. B., Lin, M. F., Zheng, J., Yang, Y. Z.

“… ABSTRACT Objectives To evaluate the feasibility of using deep‐learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes …”
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Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges von Shrestha, Yash Raj, Krishna, Vaibhav, von Krogh, Georg

“… •Decision-making in organizations can be augmented with Deep Learning algorithms …”
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Pathology Image Analysis Using Segmentation Deep Learning Algorithms von Wang, Shidan, Yang, Donghan M, Rong, Ruichen, Zhan, Xiaowei, Xiao, Guanghua

“… Recently, deep learning algorithms have shown great promise in pathology image analysis, such as in tumor region identification, metastasis detection, and patient prognosis …”
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Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening von Li, Tao, Gao, Yingqi, Wang, Kai, Guo, Song, Liu, Hanruo, Kang, Hong

“… Moreover, 757 images with DR were selected to annotate four types of DR-related lesions. Finally, we evaluated state-of-the-art deep learning algorithms …”
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Soil water erosion susceptibility assessment using deep learning algorithms von Khosravi, Khabat, Rezaie, Fatemeh, Cooper, James R., Kalantari, Zahra, Abolfathi, Soroush, Hatamiafkoueieh, Javad

“… •Soil water erosion (SWE) is predicted though three kinds of deep learning algorithms …”
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Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy von Klang, Eyal, Barash, Yiftach, Margalit, Reuma Yehuda, Soffer, Shelly, Shimon, Orit, Albshesh, Ahmad, Ben-Horin, Shomron, Amitai, Marianne Michal, Eliakim, Rami, Kopylov, Uri

“… The aim of our study was to develop and evaluate a deep learning algorithm for the automated detection of small-bowel ulcers in Crohn’s disease (CD …”
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Damages Detection of Aeroengine Blades via Deep Learning Algorithms von Li, Shuangbao, Yu, Jingyi, Wang, Hao

“… reporting of blade damages, the detection model of damages for aeroengine blades via deep learning algorithms is proposed in this article …”
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Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer: Helping Artificial Intelligence Be Seen von Golden, Jeffrey Alan

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Popular deep learning algorithms for disease prediction: a review von Yu, Zengchen, Wang, Ke, Wan, Zhibo, Xie, Shuxuan, Lv, Zhihan

“… This paper introduces several deep learning algorithms: Artificial Neural Network (NN), FM-Deep Learning, Convolutional NN and Recurrent NN, and expounds their theory, development history and applications in disease prediction …”
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Artificial intelligence for analyzing orthopedic trauma radiographs: Deep learning algorithms-are they on par with humans for diagnosing fractures? von Olczak, Jakub, Fahlberg, Niklas, Maki, Atsuto, Razavian, Ali Sharif, Jilert, Anthony, Stark, André, Sköldenberg, Olof, Gordon, Max

“… Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remarkable performance in classifying non-medical images, and …”
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Stock market prediction using deep learning algorithms von Mukherjee, Somenath, Sadhukhan, Bikash, Sarkar, Nairita, Roy, Debajyoti, De, Soumil

“… Various machine learning and deep learning algorithms can make a firm prediction with minimised error possibilities …”
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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study von Chilamkurthy, Sasank, Ghosh, Rohit, Tanamala, Swetha, Biviji, Mustafa, Campeau, Norbert G, Venugopal, Vasantha Kumar, Mahajan, Vidur, Rao, Pooja, Warier, Prashant

“… We aimed to develop and validate a set of deep learning algorithms for automated detection of the following key findings from these scans …”
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Fault detection diagnostic for HVAC systems via deep learning algorithms von Taheri, Saman, Ahmadi, Amirhossein, Mohammadi-Ivatloo, Behnam, Asadi, Somayeh

“… Because of high detection accuracy, deep learning algorithms have recently become the focus of increased attention for fault detection diagnostic (FDD …”
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Diabetes detection using deep learning algorithms von G., Swapna, R., Vinayakumar, K.P., Soman

“… Diabetes is a metabolic disease affecting a multitude of people worldwide. Its incidence rates are increasing alarmingly every year. If untreated, …”
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Intelligent phishing detection scheme using deep learning algorithms von Adebowale, Moruf Akin, Lwin, Khin T., Hossain, M. A.

“… PurposePhishing attacks have evolved in recent years due to high-tech-enabled economic growth worldwide. The rise in all types of fraud loss in 2019 has been …”
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The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on instagram using deep-learning algorithms for automatic image classification von Argyris, Young Anna, Wang, Zuhui, Kim, Yongsuk, Yin, Zhaozheng

“… Influencers are non-celebrity individuals who gain popularity on social media by posting visually attractive content (e.g., photos and videos) and by …”
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Deep Learning Algorithms for Brain Imaging: From Black Box to Clinical Toolbox? von Haight, Thaddeus J, Eshaghi, Arman

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