2026-05-06T07:13:24Z https://api.figshare.com/v2/oai
oai:figshare.com:article/23843904 2023-08-04T14:06:18Z category_30190 category_28930 category_28846 portal_549 item_type_3 month_year_08_2023
10.5522/04/23843904.v1 https://figshare.com/articles/dataset/Procedurally_Generated_Colonoscopy_and_Laparoscopy_Data_For_Improved_Model_Training_Performance/23843904 https://ndownloader.figshare.com/files/41833146 https://ndownloader.figshare.com/files/41835510 https://ndownloader.figshare.com/files/41835753 https://ndownloader.figshare.com/files/41838570 Dowrick, Thomas Thomas Dowrick Clarkson, Matt Matt Clarkson Ramalhinho, Joao Joao Ramalhinho Chen, Long Long Chen Gonzalez Bueno Puyal, Juana Juana Gonzalez Bueno Puyal <![CDATA[Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance]]> Medical physics Data engineering and data science Modelling and simulation Image Guided Surgery Data engineering Data simulation Deep learning 2023-08-04 2023-08-04 Dataset 2023 University College London This is the training data to support the work in 'Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance', published at the 2023 Data Engineering in Medical Imaging Workshop at MICCAI 2023.


Contents:


1. blender.zip - Blender files used to generate data.

2. examples.zip - Example videos showing Shader Graphs, Geometry Nodes and data generation.

3. liver.zip - The full generated laparoscopy dataset.

4. colon.zip - The full generated colonoscopy dataset.

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