RetrieveNet: a novel deep network for medical image retrieval-Reference-Cited by-同舟云学术

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RetrieveNet: a novel deep network for medical image retrieval

Published:2020-04-11 Issue:4 Volume:14 Page:1449-1458
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Hussain Chesti Altaff,Rao Dhulipalla Venkata,Mastani S. Aruna

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12065-020-00401-z.pdf

Reference59 articles.

1. André B, Vercauteren T, Buchner AM, Wallace MB, Ayache N (2012) Learning semantic and visual similarity for endomicroscopy video retrieval. IEEE Trans Med Imaging 31(6):1276–1288

2. Chaudhary S, Murala S (2019) Deep network for human action recognition using weber motion. Neurocomputing 367:207–216

3. Depeursinge A, Vargas A, Platon A, Geissbuhler A, Poletti PA, Müller H (2012) Building a reference multimedia database for interstitial lung diseases. Comput Med Imaging Graph 36(3):227–238

4. Dudhane A, Murala S (2018) $$\text{C}^{\hat{\,}}$$ 2msnet: a novel approach for single image haze removal. In: 2018 IEEE winter conference on applications of computer vision (WACV). IEEE, pp 1397–1404

5. Dudhane A, Murala S (2019) Ryf-net: deep fusion network for single image haze removal. IEEE Trans Image Process 29:628–640

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1. Content-Based Medical Image Retrieval using Deep Learning and Handcrafted features in Dimensionality Reduction framework;2024-08-14

2. MEDI-NET: CLOUD-BASED FRAMEWORK FOR MEDICAL DATA RETRIEVAL SYSTEM USING DEEP LEARNING;REV ROUM SCI TECH-EL;2024

3. A Content-Based Approach to Medical Image Retrieval;Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention;2022-09-09

4. An efficient content-based medical image retrieval based on a new Canny steerable texture filter and Brownian motion weighted deep learning neural network;The Visual Computer;2022-03-30

5. Low dimensional multi-block neighborhood combination pattern for biomedical image retrieval;Multimedia Tools and Applications;2022-03-29

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