Update README.md

README.md

@@ -5,4 +5,32 @@ language:
 pipeline_tag: image-classification
 tags:
 - medical
----
+---
+
+This README file describes the models proposed in the current folder.
+
+The models were created using clinicadl == 1.0.4. Each folder containing the
+models is compressed in a tar.gz file. The filename corresponds to the
+experiments described in the supplementary material of the main publication
+[1], see the eTable 4.
+
+Here a simplified version of the aforementioned table:
+
+| Experiment |     Architecture      | Training Data | Transfer learning |   Task   |
+|     3      |  3D subject-level CNN |    Baseline   |        AE         | AD vs CN |
+|     8      |  3D roi-based CNN     |    Baseline   |        AE         | AD vs CN |
+|     14     |  3D patch-level CNN   |    Baseline   |        AE         | AD vs CN |
+|     18     |  2D slice-level CNN   |    Baseline   | ImageNet pretrain | AD vs CN |
+
+Model architecture, weights and hyperparameters are self-contained in each
+folder and are organized by followint the MAPS structure [2].
+
+[1] Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González,
+Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon
+Burgos, Olivier Colliot, Convolutional neural networks for classification of
+Alzheimer's disease: Overview and reproducible evaluation, Medical Image
+Analysis, Volume 63, 2020, 101694, ISSN 1361-8415.
+
+[2] https://clinicadl.readthedocs.io/en/stable/Introduction/#maps-definition
+
+@Copyright 2020-2022, Aramislab, Inria.