An intelligent medical image classification system using <scp>few‐shot</scp> learning-Reference-Cited by-同舟云学术

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An intelligent medical image classification system using few‐shot learning

Published:2022-11-15 Issue:2 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Abbas Qaisar¹^ORCID

Affiliation:

1. College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7451

Reference75 articles.

1. Image-based state-of-the-art techniques for the identification and classification of brain diseases: a review

2. Image fusion using hybrid methods in multimodality medical images

3. An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions

4. Developing intelligent medical image modality classification system using deep transfer learning and LDA

5. A comprehensive study of brain tumour discrimination using phase combinations, feature rankings, and hybridised classifiers

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1. Breast Cancer Detection by Prototypical Networks using Few Shot Learning;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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