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Bio-Inspired Hyperparameter Tuning Using Harbor Seal Whiskers Optimization for CNN-Based Skin Cancer Classification

2026-06-03

Abstract excerpt

<title>Abstract</title> <p> Catching aggressive skin cancers like melanoma early is critical for patient survival. While Convolutional Neural Networks (CNNs) are powerful tools for analyzing skin images, getting them to perform perfectly often requires tedious tuning of their internal settings. To address this, we developed a nature-inspired approach called Harbor Seal Whiskers Optimization (HSWO). This algorith...

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Literature Corpus work
5651e33f-abb8-571f-bf4e-ca40c0e2c81b
DOI
10.21203/rs.3.rs-9890145/v1
Open publication

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Bio-Inspired Hyperparameter Tuning Using Harbor Seal Whiskers Optimization for CNN-Based Skin Cancer ClassificationDOI 10.21203/rs.3.rs-9890145/v1
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