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article · Cluster Computing

Correction: An effective multiclass skin cancer classification approach based on deep convolutional neural network

2026Open accessMinia University

Abstract

1 0 0 7 / s 1 0 5 8 6 -0 2 4 -0 4 5 4 0 -1In this article under the section heading '5.1 Performance metrics' the word 'six' has been incorrectly written as 'sex' in the following sentence: "The performance of the proposed DCNN model was evaluated using sex evaluation metrics including accuracy, recall, precision, F1-score, specificity, and AUC.The incorporation of these metrics provided a nuanced under standing of the DCNN's performance across different facets, ensuring a comprehensive evaluation of its effectiveness in skin cancer classification''.

Research topics

  • Cutaneous Melanoma Detection and Management
  • Nonmelanoma Skin Cancer Studies
  • Brain Tumor Detection and Classification

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DOI: 10.1007/s10586-026-06099-5

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