Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction-Reference-Cited by-同舟云学术

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Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction

Published:2020-04 Issue:4 Volume:83 Page:410-423
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc Res Tech

Author:

Rehman Amjad¹,Khan Muhammad A.²^ORCID,Mehmood Zahid³^ORCID,Saba Tanzila¹^ORCID,Sardaraz Muhammad⁴,Rashid Muhammad⁵

Affiliation:

1. Artificial Intelligence and Data Analytics (AIDA) LabCCIS Prince Sultan University Riyadh Saudi Arabia

2. Department of CS&EHITEC University Taxila Pakistan

3. Department of Computer EngineeringUniversity of Engineering and Technology Taxila Pakistan

4. Department of Computer ScienceCOMSATS University Islamabad Attock Pakistan

5. Department of Computer EngineeringUmm Al‐Qura University Makkah Saudi Arabia

Funder

Prince Sultan University Riyadh KSA

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.23429

Reference69 articles.

1. Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears

2. Plasmodium species aware based quantification of malaria parasitemia in light microscopy thin blood smear

3. Plasmodium life cycle stage classification based quantification of malaria parasitaemia in thin blood smears

4. Seeded region growing

5. Microscopic skin laceration segmentation and classification: A framework of statistical normal distribution and optimal feature selection

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