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Premaladha Jayaraman on Muck Rack

Premaladha Jayaraman

As seen in: Wiley Online Library, MDPI
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Articles

YOLOv7‐XAI: Multi‐Class Skin Lesion Diagnosis Using Explainable AI With Fair Decision Making

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By Nirmala Veeramani, Premaladha Jayaraman
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. References 1, “Biochemical, Structural and Physical Changes in Ageing Human Skin, and Their Relationship,” Biogerontology 23 (2022): 275–288. 2, , and , “Skin Lesion Segmentation Using Deep Learning With Auxiliary Task,” Journal of Imaging 7 (2021): 67. 3, , , et al., “American Cancer Society's Report on the Status of Cancer Disparities in the United States, 2021,” CA: A Cancer Journal for Clinicians 72 (2022): 112–143.
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Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures

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By Premaladha Jayaraman, Nirmala Veeramani, Raghunathan Krishankumar, Kattur Soundarapandian Ravichandran
| MDPI
Open AccessArticle by Premaladha Jayaraman 1, Nirmala Veeramani 1, Raghunathan Krishankumar 2, Kattur Soundarapandian Ravichandran 3, Fausto Cavallaro 4,*, Pratibha Rani 5 and Abbas Mardani 6 1 School of Computing, SASTRA Deemed University, Thanjavur 613401, TN, India 2 Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore 641112, Amrita Vishwa Vidyapeetham, India 3 Department of Mathematics, Amrita School of Physical Sciences, Coimbatore 602105, Amrita Vishwa...
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