From b097fe9a2fe49c92af4b49a1218eb1338ad86842 Mon Sep 17 00:00:00 2001 From: anwai98 Date: Tue, 3 Oct 2023 23:04:03 +0200 Subject: [PATCH] Fix spellings in the documentation --- doc/finetuned_models.md | 4 ++-- doc/python_library.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/finetuned_models.md b/doc/finetuned_models.md index 4fc9fb13..ceedfc71 100644 --- a/doc/finetuned_models.md +++ b/doc/finetuned_models.md @@ -26,8 +26,8 @@ See for example the [2d annotator example](https://github.com/computational-cell As a rule of thumb: - Use the `_lm` models for segmenting cells or nuclei in light microscopy. -- Use the `_em` models for segmenting ceells or neurites in electron microscopy. - - Note that this model does not work well for segmenting mitochondria or other organelles becuase it is biased towards segmenting the full cell / cellular compartment. +- Use the `_em` models for segmenting cells or neurites in electron microscopy. + - Note that this model does not work well for segmenting mitochondria or other organelles because it is biased towards segmenting the full cell / cellular compartment. - For other cases use the default models. See also the figures above for examples where the finetuned models work better than the vanilla models. diff --git a/doc/python_library.md b/doc/python_library.md index dbab4b0a..7ab07b12 100644 --- a/doc/python_library.md +++ b/doc/python_library.md @@ -6,8 +6,8 @@ import micro_sam ``` The library -- implements function to apply Segment Anything to 2d and 3d data more conviently in `micro_sam.prompt_based_segmentation`. -- provides more and imporoved automatic instance segmentation functionality in `micro_sam.instance_segmentation`. +- implements function to apply Segment Anything to 2d and 3d data more conveniently in `micro_sam.prompt_based_segmentation`. +- provides more and improved automatic instance segmentation functionality in `micro_sam.instance_segmentation`. - implements training functionality that can be used for finetuning on your own data in `micro_sam.training`. - provides functionality for quantitative and qualitative evaluation of Segment Anything models in `micro_sam.evaluation`.