Brain tumor classification for combining the advantages of multilayer dense net‐based feature extraction and hyper‐parameters tuned attentive dual residual generative adversarial network classifier using wild horse optimization
Shenbagarajan Anantharajan,
Shenbagalakshmi Gunasekaran,
J. Angela Jennifa Sujana
Abstract:In this manuscript, attentive dual residual generative adversarial network optimized using wild horse optimization algorithm for brain tumor detection (ADRGAN‐WHOA‐BTD) is proposed. Here, the input imageries are gathered using BraTS, RemBRANDT, and Figshare datasets. Initially, the images are preprocessed to increase the quality of images and eliminate the unwanted noises. The preprocessing is performed with dual‐tree complex wavelet transform (DTCWT). The image features like geodesic data and texture features… Show more
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