Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval-Reference-Cited by-同舟云学术

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Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval

Published:2022-06-26 Issue: Volume: Page:
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Container-title:2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
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Author:

Tabatabaei Zahra¹,Colomer Adrian²,Engan Kjersti³,Oliver Javier¹,Naranjo Valery²

Affiliation:

1. Tyris Tech S.L.,Dept. of Artificial Intelligence,Valencia,Spain

2. Institute of Research and Innovation in Bioengineering, Universitat Politécnica de Valéncia,Valencia,Spain

3. University of Stavanger,Department of Electrical Engineering and Computer Science,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9816065/9816173/09816325.pdf?arnumber=9816325

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VTHSC-MIR: Vision Transformer Hashing with Supervised Contrastive learning based medical image retrieval;Pattern Recognition Letters;2024-08

2. Batik Image Retrieval using Convolutional Autoencoder;2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2024-05-24

3. Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs;2024-03-13

4. Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques;Applied Sciences;2024-03-01

5. Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images;Computerized Medical Imaging and Graphics;2024-03

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