Map more datasets - Githubissues

QSMSC at UCL (real-world multiple sclerosis lesion dataset) does not seem to be a publicly available dataset. I've contacted first author and now I find myself waiting for a response.

blotero commented 8 months ago

Add LIDC-IDRI (lung abnormalities) support:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041807/

https://wiki.nci.nih.gov/display/CIP/LIDC

https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=1966254

Apparently, a tool is required for downloading the whole 125GB of images: https://wiki.cancerimagingarchive.net/display/NBIA/Downloading+TCIA+Images

blotero commented 8 months ago

I think we could use the tf native MNIST dataset instead of Morpho. This way, we can apply a similar disturbance strategy to the one applied to oxford pet instead of applying morphological transformations. https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist

blotero commented 7 months ago

Add support for tomato seeds: https://gcpds-image-segmentation.readthedocs.io/en/latest/notebooks/02-datasets.html#Tomato-Seeds

blotero commented 7 months ago

Add support for tomato seeds: https://gcpds-image-segmentation.readthedocs.io/en/latest/notebooks/02-datasets.html#Tomato-Seeds

This dataset is way too small for being meaningful, a typical UNet actchitecture training will have loss curves like the following:

This is unacceptable for achieving decent annotators emulation.

We will be using the augmented version with detection target instead. However, it would still require to adapt it as tf generator dataset.

blotero commented 7 months ago

Add support for tomato seeds: https://gcpds-image-segmentation.readthedocs.io/en/latest/notebooks/02-datasets.html#Tomato-Seeds

This dataset is way too small for being meaningful, a typical UNet actchitecture training will have loss curves like the following:

This is unacceptable for achieving decent annotators emulation.

We will be using the augmented version with detection target instead. However, it would still require to adapt it as tf generator dataset.

Successful results for tomato seeds disturbing model:

Implementation will be included in nexts PR's

blotero commented 4 months ago

Map Crodw Seg dataset:

https://github.com/wizmik12/CRowd_Seg/tree/main

https://drive.google.com/drive/folders/17VukoKpwZclRrDcWSK1aYd_lPeqWNM8N?usp=sharing=

blotero / seg_tgce

Map more datasets #26