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81por Kittichai, Veerayuth, Kaewthamasorn, Morakot, Samung, Yudthana, Jomtarak, Rangsan, Naing, Kaung Myat, Tongloy, Teerawat, Chuwongin, Santhad, Boonsang, Siridech“…Here, we proposed an automatic screening, namely the deep metric learning approach and its inference under the image-retrieval process with Euclidean distance-based similarity. …”
Publicado 2023
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82por Welter, Petra, Deserno, Thomas M, Fischer, Benedikt, Günther, Rolf W, Spreckelsen, Cord“…RESULTS: We mapped the IBCR-RE diagnostic training approach into the Image Retrieval in Medical Applications (IRMA) framework, resulting in the proposed concept of the IRMAdiag training application. …”
Publicado 2011
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83“…However, this problem can be resolved by exploring similar cases in the previous medical database through an efficient content-based medical image retrieval (CBMIR) system. In the past few years, heterogeneous medical imaging databases have been growing rapidly with the advent of different types of medical imaging modalities. …”
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84por Sotomayor, Camilo G., Mendoza, Marcelo, Castañeda, Víctor, Farías, Humberto, Molina, Gabriel, Pereira, Gonzalo, Härtel, Steffen, Solar, Mauricio, Araya, Mauricio“…The current project aims to address this gap in medical imaging consumption by developing a content-based image retrieval (CBIR) system, which combines two image processing architectures based on deep learning. …”
Publicado 2021
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85“…The existing typical combined query image retrieval methods adopt Euclidean distance as sample distance measurement method, and the model trained by triple loss function blindly pursues absolute distance between samples, resulting in unsatisfactory image retrieval performance. …”
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86por Varish, Naushad, Singh, Priyanka, Tugiti, Prannoy, Manikanta, Marella Hima, Yedlapalli, Bhavana, Pappusetty, Abhishree, Thakkar, Hiren Kumar, Sharma, Gajendra“…On a benchmark image dataset, the suggested image retrieval scheme is validated. The experimental outcomes were compared to ten cutting-edge image retrieval algorithms, which outperformed in the vast majority of cases.…”
Publicado 2023
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87por Souid, Abdelbaki, Alsubaie, Najah, Soufiene, Ben Othman, Alqahtani, Mohammed S., Abbas, Mohamed, Jambi, Layal K., Sakli, HediEnlace del recurso
Publicado 2023
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88por Baldi, Alfonso, Murace, Raffaele, Dragonetti, Emanuele, Manganaro, Mario, Guerra, Oscar, Bizzi, Stefano, Galli, LucaEnlace del recurso
Publicado 2009
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89por Jabeen, Safia, Mehmood, Zahid, Mahmood, Toqeer, Saba, Tanzila, Rehman, Amjad, Mahmood, Muhammad Tariq“…For the last three decades, content-based image retrieval (CBIR) has been an active research area, representing a viable solution for retrieving similar images from an image repository. …”
Publicado 2018
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90“…To better address this problem, a localization method based on image retrieval is proposed in this paper, which mainly consists of two parts. …”
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91por Zhong, Aoxiao, Li, Xiang, Wu, Dufan, Ren, Hui, Kim, Kyungsang, Kim, Younggon, Buch, Varun, Neumark, Nir, Bizzo, Bernardo, Tak, Won Young, Park, Soo Young, Lee, Yu Rim, Kang, Min Kyu, Park, Jung Gil, Kim, Byung Seok, Chung, Woo Jin, Guo, Ning, Dayan, Ittai, Kalra, Mannudeep K., Li, Quanzheng“…Experimental results of COVID-19 image retrieval and diagnosis tasks show that the proposed model can serve as a robust solution for CXR analysis and patient management for COVID-19. …”
Publicado 2021
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92por Zhao, Yuying, Lai, Hanjiang, Yin, Jian, Zhang, Yewu, Yang, Shigui, Jia, Zhongwei, Ma, JiaqiEnlace del recurso
Publicado 2020
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93por Pogarell, Tobias, Bayerl, Nadine, Wetzl, Matthias, Roth, Jan-Peter, Speier, Christoph, Cavallaro, Alexander, Uder, Michael, Dankerl, Peter“…To evaluate the reader’s diagnostic performance against the ground truth with and without the help of a novel content-based image retrieval system (CBIR) that retrieves images with similar CT patterns from a database of 79 different interstitial lung diseases. …”
Publicado 2021
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94“…In order to help endoscopists improve the diagnosis accuracy in identifying the types of lesions, an image retrieval module is added in the classification task to provide an additional confidence level of the predicted types of esophageal lesions. …”
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95por Röhrich, Sebastian, Heidinger, Benedikt H., Prayer, Florian, Weber, Michael, Krenn, Markus, Zhang, Rui, Sufana, Julie, Scheithe, Jakob, Kanbur, Incifer, Korajac, Aida, Pötsch, Nina, Raudner, Marcus, Al-Mukhtar, Ali, Fueger, Barbara J., Milos, Ruxandra-Iulia, Scharitzer, Martina, Langs, Georg, Prosch, Helmut“…OBJECTIVES: Content-based image retrieval systems (CBIRS) are a new and potentially impactful tool for radiological reporting, but their clinical evaluation is largely missing. …”
Publicado 2022
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96“…Using Content-based image retrieval (CBIR) with deep learning in the healthcare domain provides an ease to identify similar images, which eventually helps in analysis. …”
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97“…A content-based image retrieval system, as an Indonesian traditional woven fabric knowledge base, can be useful for artisans and trade promotions. …”
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98por Sharma, Harshita, Alekseychuk, Alexander, Leskovsky, Peter, Hellwich, Olaf, Anand, RS, Zerbe, Norman, Hufnagl, Peter“…RESULTS: The results obtained and evaluation performed demonstrate the effectiveness and superiority of graph-based image retrieval over a common histogram-based technique. …”
Publicado 2012
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99“…Objective To ascertain whether the newly developed content-based image retrieval (CBIR) software can be used successfully to retrieve images of similar cases of adolescent idiopathic scoliosis (AIS) from a database to help plan treatment without adhering to a classification scheme. …”
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100por Aizawa, Kiyoharu, Maeda, Kazuki, Ogawa, Makoto, Sato, Yohei, Kasamatsu, Mayumi, Waki, Kayo, Takimoto, Hidemi“…Unlike conventional smartphone-based food recording tools, FoodLog allows users to employ meal photos to help them to input textual descriptions based on image retrieval. In this study, we conducted usability experiments to evaluate the routine daily use of FoodLog systems with and without image-based assistance. …”
Publicado 2014
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