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Add lower bound for wsi resolution level during mask generation #412

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nkaenzig
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@nkaenzig nkaenzig commented May 3, 2024

Closes #411

@nkaenzig nkaenzig marked this pull request as ready for review May 3, 2024 07:11
…fixes related to wrong x/y coordinates in read_region calls.
@nkaenzig nkaenzig changed the title Set lower bound for pixel area when retrieving low resolution level Add lower bound for wsi resolution level during mask generation May 6, 2024
@nkaenzig nkaenzig self-assigned this May 6, 2024
@nkaenzig nkaenzig merged commit 15874f5 into 360-aggregated-feature-support-wsi-level-tasks May 7, 2024
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@nkaenzig nkaenzig deleted the 411-fix-foreground-patching-issue branch May 7, 2024 06:44
roman807 added a commit that referenced this pull request Jun 24, 2024
* Add base class for WSIs & `openslide` implementation (#365)

* Add WSI dataset classes (#368)

* Add baseline `panda` workflow (#373)

* add panda config

* adjust batch size

* addressed comments

* addressed comments

* addressed comments

* Add support for grid sampling to `WsiDataset` (#377)

* Replaced cached_property in WsiDataset by LRU cache (#388)

* Updated `EmbeddingsWriter` to support multi-embedding file outputs (#384)

* Simple baseline sampler for foreground patches (#394)

* add foreground kaggle

* added random foreground sampler kaggle

* refactored sampler

* moved get_mask

* typo

* refactor sampler

* refactor sampler

* addressed comments

* addressed comments

* Fixed linting in WSI feature branch (#407)

* added openslide-python to all dependencies

* Fix input batch class name (#414)

* Add lower bound for wsi resolution level during mask generation (#412)

* Move sampler logic to `samplers` module and add unit tests (#420)

* Add `WsiClassificationDataset` (#429)

* Retrieve MPP from WSIs  (#432)

* add mpp conversion

* formatting

* addressed comments

* addressed comments

* addressed comments

* formatting

* formatting

* formatting

* updated panda config (#437)

* update WSI foreground segmentation algorithm (#456)

* Add `PANDA` dataset class (#430)

* fixed panda (#463)

* Update `EmbeddingsWriter` to store tensors as lists (#465)

* add tiffslide backend (#468)

* added panda cli unit tests (#470)

* move wsi initialization to setup method of `MultiWsiDataset` (#472)

* 459 add camelyon16 slide level task (#476)

* added panda dataset class

* clean up

* remove samples with noisy labels

* clean up table in dataset readme

* added function for stratified splits

* added unit tests

* cleanup

* addressed comments

* fixed issue with resource download

* validation fix

* updated readme

* added to mkdocs

* added image_dir to exception print

* updated root path in yaml config

* added panda to datasets overview table in docs

* added md5 hash for downloaded resources

* update init

* added camelyon16

* added camelyon16

* updated camelyon16 class

* added tests and config

* formatting

* formatting

* formatting

* formatting

* added test files

* formatting

* lint

* added target transforms

* formatting

* fixed dataset

* addressed comments

* addressed comments

* fix test

* fix test

* fixed test

* addressed comments

* updated loss

* fix annotations

* lint

---------

Co-authored-by: Nicolas Kaenzig <nkaenzig@gmail.com>

* 475 define slide level evaluation protocol (#511)

* updated configs

* adjust patience

* addressed comments

* fixed typo

* remove prefetch factor

* update 360-aggregated-feature before PR to main (#527)

* Updated developer guide (#418)

* Update `TotalSegmentator2D` dataset to fetch all the slices (#416)

* Move metrics to CPU when using single device (#446)

* Remove total segmentator classification dataset (#450)

* updated eva logo (#454)

* updated eva logo

* renamed files

* Update actions/checkout digest to a5ac7e5 (#458)

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

* Add configuration logger (#466)

* Update `README` with paper citation (#474)

* update docs (#482)

* Update img shields of README (#480)

* Fix `torch` and `jsonargparse` versions (#483)

* update depedencies

* update

* bump micro version (#486)

* update config links (#487)

* Update paper citation format (#489)

* Update the vision dataset return types to `tv_tensors` (#478)

* Refactor embeddings writer (#461)

* fixed phikon configs (#493)

* Refactor embeddings datasets (#495)

* Add doc tests and minor fixes (#492)

* support setting download as env-variable (#514)

* updated confis and doc

* typo

* update datasets

* fixed types

* src/eva/core/callbacks/writers/embeddings/base.py

* formatting

* types

---------

Co-authored-by: Nicolas Känzig <36882833+nkaenzig@users.noreply.github.com>
Co-authored-by: ioangatop <johngatop@gmail.com>
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

* Updated documentation with new datasets and leaderboard (#531)

* updated layout

* updated layout

* addressed comment

* 532 update leaderboard results with slide level tasks (#538)

* updated docs

* update leaderboard

* update docs and links

* updated configs (#539)

* updated leaderboard (#543)

---------

Co-authored-by: Nicolas Känzig <36882833+nkaenzig@users.noreply.github.com>
Co-authored-by: Nicolas Kaenzig <nkaenzig@gmail.com>
Co-authored-by: ioangatop <johngatop@gmail.com>
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
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2 participants