Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms

Abstract Background The subtle differences between edible and toxic mushroom species make classification difficult. Traditional methods often result in errors which led to misclassifications and conventional machine learning models often struggle in feature extraction due to subtle differences in mu...

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Principais autores:	Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2025-06-01
Serija:	International Journal of Computational Intelligence Systems
Teme:	DenseNet-121 Modified DenseNet-121 Mushroom classification Deep learning Machine learning Image classification
Online dostop:	https://doi.org/10.1007/s44196-025-00871-y
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