Classification of Microscopic Images of Unstained Skin Samples Using Deep Learning Approach-Reference-Cited by-同舟云学术

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Classification of Microscopic Images of Unstained Skin Samples Using Deep Learning Approach

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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Author:

KV Rajitha¹,Bhat Sowmya²,PY Prakash³,Rao Raghavendra³,Prasad Keerthana²

Affiliation:

1. Manipal Institute of Technology,Manipal

2. Manipal Academy of Higher Education,MSIS,Manipal

3. KMC,Manipal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761484.pdf?arnumber=9761484

Reference10 articles.

1. Deep learning scaling is predictable, empirically;hestness,2017

2. Overview and update on the laboratory diagnosis of dermatophytosis

3. Image-Processing Scheme to Detect Superficial Fungal Infections of the Skin

4. High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks

5. Empirical analysis of a fine-tuned deep convolutional model in classifying and detecting malaria parasites from blood smears;montalbo;KSII Transactions on Internet and Information Systems (TIIS),2021

Cited by 2 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. Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25

2. Segmentation and Classification Approaches of Clinically Relevant Curvilinear Structures: A Review;Journal of Medical Systems;2023-03-27

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