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Oct 3, 2019 · In this work, we train a multi-scale convolutional neural network (M-CNN) to classify large biomedical images for high content screening in one ...
In this work, we train a multi-scale convolutional neural network (M-CNN) to classify large biomedical images for high content screening in one hour. The ...
Page 1. Training Multiscale CNN for Large Microscopy Image. Classification in One Hour. Kushal Datta, Intel® Artificial Intelligence Products Group. Co-Authors ...
In this work, we train a multi-scale convolutional neural network (M-CNN) to classify large biomedical images for high content screening in one hour. General ...
In this work, we train a multiscale convolutional neural network (M-CNN) to classify large biomedical images for high content screening in one hour. The ability ...
In this work, we train a multi-scale convolutional neural network (M-CNN) to classify large biomedical images for high content screening in one hour. General ...
Apr 25, 2024 · Training Multiscale-CNN for Large Microscopy Image Classification in One Hour. ISC Workshops 2019: 463-477. [i1]. view. electronic edition ...
William J. Godinez's Post · Training Multiscale-CNN for Large Microscopy Image Classification in One Hour - Intel AI · More Relevant Posts · Compound Activity ...
Apr 20, 2023 · images. 5 Discussion. This study aimed to develop a multi-domain learning model for the classification of microscopy images from different.
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Training Multiscale-CNN for Large Microscopy Image Classification in One Hour · Kushal DattaImtiaz Hossain +4 authors. Xian Zhang. Computer Science, Engineering.