From a618816f7e14cf441931851aebb403345191b65e Mon Sep 17 00:00:00 2001 From: Alex Zwanenburg Date: Thu, 4 Jul 2024 08:23:33 +0200 Subject: [PATCH] Editorial changes. --- paper/paper.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 1cc1f72a..a6615d63 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -41,8 +41,8 @@ radiomics analyses of others. # Statement of need Lack of standardised radiomics software is one of the reasons for poor translation of radiomics tools to the clinic. -The Image Biomarker Standardisation Initiative (IBSI) has created reference standards for radiomics software: 1. a -reference standard for basic image processing and feature extraction steps [@Zwanenburg2020-go]; and 2. a reference +The Image Biomarker Standardisation Initiative (IBSI) created two reference standards for radiomics software: firstly, a +reference standard for basic image processing and feature extraction steps [@Zwanenburg2020-go]; and secondly a reference standard for image filters [@Whybra2024-yb]. There is currently a lack of fully IBSI-compliant radiomics packages in Python, which is important for the radiomics field because Python is used to interface with machine learning and deep learning packages such as `scikit-learn` and `pytorch`. `mirp` is intended to fill this gap. It provides a @@ -53,7 +53,7 @@ image processing and feature extraction for machine learning-based radiomics. one hand, and to externally reproduce and validate results of other researchers. It was originally created in 2016 and regularly updated to conform with the IBSI reference standards and to improve usability. Previous versions of `mirp` were used by e.g. @Leger2017-si, @Zwanenburg2019-jg, @Shahzadi2022-wk and @Bettinelli2022-ml. Recently, `mirp` was used -as a radiomics engine for the `RadTract` Python package [@Neher2024-ze]. The latest major version (2) provides major +as a radiomics engine for the `RadTract` Python package [@Neher2024-ze]. Updates in the recent major release series provide major improvements in user experience with a unified API, better documentation, and easier installation using `pip`. `mirp` follows an end-to-end design principle and abstracts away intermediate steps for the user. In this sense it