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Expand Up @@ -6,26 +6,27 @@ Jupyter Notebooks offer reproducibility by including the output of each coding b

In this example, AUCMEDI is applied with a in-depth explanatory way in order to guide through the overall functionality.

**Title:** "A tutorial how to implement a medical image pipeline to classify skin lesions with the AUCMEDI framework".
**Title:** "How to implement a medical image classification pipeline with just a few lines of code"

| Type | Link |
|-----|-----|
| Jupyter Notebook | [blog.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/blog/SkinLesionNotebook.ipynb) |
| PDF | [blog.notebook.pdf](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/blog/Editing_How_to_implement_a_medical_image_classification_pipeline_with_just_a_few_lines_of_code___Medium.pdf) |
| Type | Link | Task |
|------|------|------|
| Article on Medium | [Blog - Article](https://medium.com/@dominik.mueller_84477/how-to-implement-a-medical-image-classification-pipeline-with-just-a-few-lines-of-code-7de0f8595e2e) | Brain Tumor Classification |
| Jupyter Notebook | [blog.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/blog/SkinLesionNotebook.ipynb) | Skin Lesion Classification |
| PDF | [blog.notebook.pdf](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/blog/Editing_How_to_implement_a_medical_image_classification_pipeline_with_just_a_few_lines_of_code___Medium.pdf) | Skin Lesion Classification |

## Standardized Examples

In these examples, AUCMEDI was applied in a standardized way on various medical imaging modalities in order to demonstrate the high adaptability of AUCMEDI.

| ID | Medical Field | Imaging Modality | Link |
|:--:|---------------|:-----------------|:-----:|
| 01 | Dermatology | Dermatoscopy | [01.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/01_dermatoscopy_notebook.ipynb) |
| 02 | Gastroenterology | Endoscopy (lower) | [02.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/02_gi-endoscopy-lower_notebook.ipynb) |
| 03 | Gastroenterology | Endoscopy (upper) | [03.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/03_gi-endoscopy-upper_notebook.ipynb) |
| 04 | Histopathology | Microscopy | [04.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/04_histopathology_notebook.ipynb) |
| 05 | Radiology | X-ray | [05.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/05_xray_notebook.ipynb) |
| 06 | Gynaecology | Ultrasound | [06.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/06_ultrasound_notebook.ipynb) |
| 07 | Radiology | Computed Tomography | [07.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/07_ct-covid_notebook.ipynb) |
| 08 | Ophthalmology | Retinal Imaging | [08.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/08_riadd_notebook.ipynb) |
| 09 | Neurology | Magnetic Resonance Imaging | [09.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/09_mri_notebook.ipynb) |
| 10 | Radiology | Computed Tomography | [10.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/10_ct_notebook.ipynb) |
| ID | Medical Field | Imaging Modality | Link | Dataset |
|:--:|---------------|:-----------------|:----:|:-------:|
| 01 | Dermatology | Dermatoscopy | [01.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/01_dermatoscopy_notebook.ipynb) | asd |
| 02 | Gastroenterology | Endoscopy (lower) | [02.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/02_gi-endoscopy-lower_notebook.ipynb) | asd |
| 03 | Gastroenterology | Endoscopy (upper) | [03.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/03_gi-endoscopy-upper_notebook.ipynb) | asd |
| 04 | Histopathology | Microscopy | [04.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/04_histopathology_notebook.ipynb) | asd |
| 05 | Radiology | X-ray | [05.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/05_xray_notebook.ipynb) | asd |
| 06 | Gynaecology | Ultrasound | [06.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/06_ultrasound_notebook.ipynb) | asd |
| 07 | Radiology | Computed Tomography | [07.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/07_ct-covid_notebook.ipynb) | asd |
| 08 | Ophthalmology | Retinal Imaging | [08.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/08_riadd_notebook.ipynb) | asd |
| 09 | Neurology | Magnetic Resonance Imaging | [09.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/09_mri_notebook.ipynb) | asd |
| 10 | Radiology | Computed Tomography | [10.notebook.ipynb](https://github.com/frankkramer-lab/aucmedi/blob/master/examples/framework/10_ct_notebook.ipynb) | asd |

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