Deep Semantic Segmentation Assisted Region-of-Interest Sensitive Deep Spatio-Textural Feature Learning Framework for Leprosy Detection and Classification-Reference-Cited by-同舟云学术

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Deep Semantic Segmentation Assisted Region-of-Interest Sensitive Deep Spatio-Textural Feature Learning Framework for Leprosy Detection and Classification

Published:2024-07-31 Issue:6 Volume:5 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Jitendra R.,Simha Jay B.,Abhi Shinu,Chadha Vineet K.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-024-03054-2.pdf

Reference47 articles.

1. Henkle E, Winthrop KL. Nontuberculous mycobacteria infections in immunosuppressed hosts. Clin Chest Med. 2015;36:91–9.

2. Marfatia YS, Surani A, Shah D. Delay in leprosy diagnosis. Indian J Lepr. 2020;92:19–29.

3. Geetharani G, Pavithra G, Satheesh P. Clinico-epidemiological study of untreated multibacillary leprosy patients visiting a tertiary care hospital in Madurai. Indian J Lepr. 2018;90:197–206.

4. Global Leprosy Strategy 2016–2020: Accelerating towards a leprosy free world, New Delhi, WHO, Regional Office for South Asia, 2016.

5. “Leprosy in India - Wikipedia.” https://en.wikipedia.org/w/index.php?title= Leprosy in India&oldid=951209262 (Accessed Sep. 27, 2020).

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