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Found 2 papers, 1 papers with code
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning
Additionally, we experimented with three pixel selection methods: Bins, K-means, and MeanShift.
Deep interpretable architecture for plant diseases classification
In this paper, we propose a new trainable visualization method for plant diseases classification based on a Convolutional Neural Network (CNN) architecture composed of two deep classifiers.
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