MeFunX: A novel meta-learning-based deep learning architecture to detect fungal infection directly from microscopic images-Reference-Cited by-同舟云学术

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MeFunX: A novel meta-learning-based deep learning architecture to detect fungal infection directly from microscopic images

Published:2024-03 Issue: Volume:6 Page:100069
ISSN:2773-1863
Container-title:Franklin Open
language:en
Short-container-title:Franklin Open

Author:

Rawat Shubhankar^ORCID,Bisht Bhanvi,Bisht Virender,Rawat Nitin,Rawat Aditya

Publisher

Elsevier BV

Reference80 articles.

1. Opportunistic invasive fungal infections: diagnosis & clinical management;Badiee;Indian J. Med. Res.,2014

2. Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network;Liu;Comput. Methods Progr. Biomed.,2020

3. A prediction model for hospital mortality in patients with severe community-acquired pneumonia and chronic obstructive pulmonary disease;Huang;Respir. Res.,2022

4. Invasive fungal infections in acute and chronic liver impairment: a systematic review;Lahmer;Mycoses,2022

5. Dermatopathology and the Diagnosis of Fungal Infections;Howell;Br. J. Biomed. Sci.,2023

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1. Residual neural networks in single instance-driven identification of fungal pathogens;Machine Graphics and Vision;2023-12-18

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