Procesamiento de Imágenes Microsópicas
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Updated
May 20, 2021 - Python
Procesamiento de Imágenes Microsópicas
CoND: Classification of Neuronal Differentiation
Recovering Microscopic Images in Material Science Documents by Image Inpainting
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
A mini dataset of lithology microscopic images. This Dataset was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. Amin Beheshti.
"Deep Learning based Automatic Inpainting for Material Microscopic Images" implemented by PyTorch
Convolutional Neural Network-Based Algorithm to Predict the Future Direction of Cell Movement
Deep Learning-Based Object Detection and Bacteria Morphological Feature Extraction for Antimicrobial Resistance Applications
Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development
A Fast Algorithm for Material Image Sequential Stitching
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