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PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network

  • Published:2019-07 Issue: Volume:52 Page:226-237
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Dash Manoranjan,Londhe Narendra D.ORCID,Ghosh Subhojit,Semwal Ashish,Sonawane Rajendra S.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference48 articles.

1. Incidence, and risk factors for psoriasis in the general population;Huerta;Arch. Dermatol.,2007

2. The annual cost of psoriasis;Sander;J. Am. Acad. Dermatol.,1993

3. The annual cost of psoriasis;Sander;J. Am. Acad. Dermatol.,1993

4. Psoriasis in hospital population;Adam;Med. J. Malay.,1980

5. Malaysian Patients Knowledge of Psoriasis: Psoriasis Association Members Vs Non-Members;Yee,1999

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2. Skinformatics: Navigating the big data landscape of dermatology;Journal of the European Academy of Dermatology and Venereology;2024-09-10

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4. Multi-Class Skin Disease Classification: A Study of Transfer Learning Strategies for Deep Learning Models;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

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