https://www.selleckchem.com/pr....oducts/PF-2341066.ht
Automatic identification of subcellular compartments of proteins in fluorescence microscopy images is an important task to quantitatively evaluate cellular processes. A common problem for the development of deep learning based classifiers is that there is only a limited number of labeled images available for training. To address this challenge, we propose a new approach for subcellular organelles classification combining an effective and efficient architecture based on a compact Convolutional Neural Network and deep embedded clusteri
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