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added quantitative measurements + process folders
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README.md

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@@ -67,7 +67,13 @@ If you have any questions, please use the anonymous etherpad (see email) or open
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* [Binary mask refinement](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/image_processing/08_binary_mask_refinement.ipynb)
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* [Labeling](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/image_processing/09_Labeling.ipynb)
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* [Homework: OpenCL Installation](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/gpu_acceleration/01_opencl_installation.md)
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* Block 6 - Quantitative measurements, Processing folders
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* Block 6 - Quantitative measurements, processing folders and 3D image processing
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* Introduction to quantitative measurements
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* [Quantitative measurements with skimage regionprops](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/image_processing/11_quantitative_measurements.ipynb)
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* [Quantitative measurements with skimage regionprops](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/image_processing/12_process_folders.ipynb)
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* [3D image processing](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/image_processing/10_nd_image_data.ipynb)
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* [GPU-accelerated image processing](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/)
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* [Homework: automatic cell count](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/gpu_acceleration/homework_automatic_cellcount.pdf)
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* Block 7 - Introduction to Biostatistics
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* Block 8 - Descriptive statistics
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* Block 9 - Method Comparison - Bland-Altman analysis

image_processing/11_quantitative_measurements.ipynb

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image_processing/12_process_folders.ipynb

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image_processing/Feature_extraction.ipynb

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image_processing/process_folders.ipynb

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