From e4bdb9b9f2cf04ad687474e39c82fe2576f82651 Mon Sep 17 00:00:00 2001 From: Gensollen Date: Thu, 30 Nov 2023 13:30:51 +0100 Subject: [PATCH] fix typos (#503) --- docs/Introduction.md | 2 +- docs/Preprocessing/Extract.md | 2 +- docs/index.md | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/Introduction.md b/docs/Introduction.md index 87556c7e8..97ff17867 100644 --- a/docs/Introduction.md +++ b/docs/Introduction.md @@ -158,7 +158,7 @@ split- ### Level 3 - model application to data groups -The last level corresponds to the content of `best-`. In this folder, the weights of the model is available (`best_model.pth.tar`) +The last level corresponds to the content of `best-`. In this folder, the weights of the model are available (`best_model.pth.tar`) and their application to different data groups can be found: ```Text diff --git a/docs/Preprocessing/Extract.md b/docs/Preprocessing/Extract.md index bbd6286d2..53908b5c4 100644 --- a/docs/Preprocessing/Extract.md +++ b/docs/Preprocessing/Extract.md @@ -66,7 +66,7 @@ They provide all the details of the processing performed by the `prepare-data` c ## Extraction method In this section we consider the options needed and outputs produced for different -extraction method command. Each time we consider that the input is named `_.nii.gz`. +extraction method commands. Each time we consider that the input is named `_.nii.gz`. The suffix represents the initial modality (it can be for example `T1w`). !!! warning diff --git a/docs/index.md b/docs/index.md index fecf5185d..6a18f4adb 100644 --- a/docs/index.md +++ b/docs/index.md @@ -25,7 +25,7 @@ brain images in the context of Alzheimer's disease. This is why some functions of ClinicaDL can still be specific to Alzheimer's disease context. -For moreinformation on this clinical context, please refer to [our +For more information on this clinical context, please refer to [our tutorial](https://aramislab.paris.inria.fr/clinicadl/tuto/). If you are new to ClinicaDL, please consider reading the [First steps @@ -75,7 +75,7 @@ format (ready to use with **ClinicaDL >= 1.0.4**). Models trained with previous versions of ClinicaDL are also available. For more details concerning the parameters used to create these models please refer to the supplementary material of [[Wen et al., 2020](https://doi.org/10.1016/j.media.2020.101694)], -particularly the etable 4. All the original pretrained models, produced for +particularly the table 4. All the original pretrained models, produced for the aforementioned publication are also available in this [Zenodo record](https://zenodo.org/record/3491003) (note that models in this format are not useful anymore with current version of ClinicaDL).