Ensemble Residual Network with Iterative Randomized Hyperparameter Optimization for Colorectal Cancer Classification
Anju T. E., S. Vimala
Abstract:The analysis of WSI images is widely acknowledged as a method, for identifying stages of cancer and evaluating the spread of cancer cells in tissues. In histopathology image analysis deep learning models are gaining increasing importance. To enhance the effectiveness of these models it is crucial to train and fine-tune Convolutional Neural Network algorithms by adjusting hyperparameters like batch size, convolution depth, and learning rate (LR). However, determining the hyperparameters can be challenging as th… Show more
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