alinajadebarnett / iaiabl

This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x
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Project Requirements #1

Open pedroalopes opened 2 years ago

pedroalopes commented 2 years ago

Hello, Would it be possible to share the versions for the packages needed to run the project? Although the README file refers a requirements.txt, I believe it was not added to the repository.

Thank you in advance.

lihaicheng7003 commented 2 years ago

+1

jihyeheo commented 1 year ago

+2

alinajadebarnett commented 1 year ago

This is the output from python -m pip freeze on one of our working environments. It will have many more packages than are needed, but it includes version numbers.

argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
async-generator==1.10
attrs==22.1.0
Augmentor==0.2.10
backcall==0.2.0
black==22.6.0
bleach==4.1.0
cffi==1.15.1
click==8.0.4
cycler==0.11.0
dataclasses==0.8
decorator==4.4.2
defusedxml==0.7.1
entrypoints==0.4
et-xmlfile==1.1.0
future==0.18.2
imageio==2.15.0
importlib-metadata==4.8.3
importlib-resources==5.4.0
ipykernel==5.5.6
ipython==7.16.3
ipython-genutils==0.2.0
jedi==0.17.2
Jinja2==3.0.3
joblib==1.1.0
jsonschema==3.2.0
jupyter-client==7.1.2
jupyter-core==4.9.2
jupyterlab-pygments==0.1.2
kiwisolver==1.3.1
MarkupSafe==2.0.1
matplotlib==3.3.4
mistune==0.8.4
mypy-extensions==0.4.3
nbclient==0.5.9
nbconvert==6.0.7
nbformat==5.1.3
nest-asyncio==1.5.5
networkx==2.5.1
notebook==6.4.10
numpy==1.19.5
opencv-python==4.6.0.66
openpyxl==3.0.10
packaging==21.3
pandas==1.1.5
pandocfilters==1.5.0
parso==0.7.1
pathspec==0.9.0
pexpect==4.8.0
pickleshare==0.7.5
Pillow==8.4.0
pkg_resources==0.0.0
platformdirs==2.4.0
prometheus-client==0.14.1
prompt-toolkit==3.0.30
ptyprocess==0.7.0
pycparser==2.21
pydicom==2.3.0
Pygments==2.13.0
pyparsing==3.0.9
pypng==0.20220715.0
pyrsistent==0.18.0
python-dateutil==2.8.2
pytz==2022.1
PyWavelets==1.1.1
pyzmq==23.2.1
scikit-image==0.17.2
scikit-learn==0.24.2
scipy==1.5.4
Send2Trash==1.8.0
Shapely==1.8.4
six==1.16.0
terminado==0.12.1
testpath==0.6.0
threadpoolctl==3.1.0
tifffile==2020.9.3
tomli==1.2.3
torch==1.10.1
torch-summary==1.4.5
torchinfo==1.5.4
torchsummary==1.5.1
torchvision==0.11.2
tornado==6.1
tqdm==4.64.0
traitlets==4.3.3
typed-ast==1.5.4
typing_extensions==4.1.1
wcwidth==0.2.5
webencodings==0.5.1
xlrd==2.0.1
zipp==3.6.0
jihyeheo commented 1 year ago

Oh, thanks for the reply.

hello, I'm a researcher working on interpretable ai models. I'm studing the iaia-bl on recommendation of the professor here. I have one more questions.

Like protopnet, iaia-bl has example data?

thanks.

from, jihyeheo -----Original Message----- From: @.> To: @.>; Cc: @.>; @.>; Sent: 2023-04-28 (금) 13:33:35 (GMT+09:00) Subject: Re: [alinajadebarnett/iaiabl] Project Requirements (Issue #1)

This is the output from python -m pip freeze on one of our working environments. It will have many more packages than are needed, but it includes version numbers. argon2-cffi==21.3.0 argon2-cffi-bindings==21.2.0 async-generator==1.10 attrs==22.1.0 Augmentor==0.2.10 backcall==0.2.0 black==22.6.0 bleach==4.1.0 cffi==1.15.1 click==8.0.4 cycler==0.11.0 dataclasses==0.8 decorator==4.4.2 defusedxml==0.7.1 entrypoints==0.4 et-xmlfile==1.1.0 future==0.18.2 imageio==2.15.0 importlib-metadata==4.8.3 importlib-resources==5.4.0 ipykernel==5.5.6 ipython==7.16.3 ipython-genutils==0.2.0 jedi==0.17.2 Jinja2==3.0.3 joblib==1.1.0 jsonschema==3.2.0 jupyter-client==7.1.2 jupyter-core==4.9.2 jupyterlab-pygments==0.1.2 kiwisolver==1.3.1 MarkupSafe==2.0.1 matplotlib==3.3.4 mistune==0.8.4 mypy-extensions==0.4.3 nbclient==0.5.9 nbconvert==6.0.7 nbformat==5.1.3 nest-asyncio==1.5.5 networkx==2.5.1 notebook==6.4.10 numpy==1.19.5 opencv-python==4.6.0.66 openpyxl==3.0.10 packaging==21.3 pandas==1.1.5 pandocfilters==1.5.0 parso==0.7.1 pathspec==0.9.0 pexpect==4.8.0 pickleshare==0.7.5 Pillow==8.4.0 pkg_resources==0.0.0 platformdirs==2.4.0 prometheus-client==0.14.1 prompt-toolkit==3.0.30 ptyprocess==0.7.0 pycparser==2.21 pydicom==2.3.0 Pygments==2.13.0 pyparsing==3.0.9 pypng==0.20220715.0 pyrsistent==0.18.0 python-dateutil==2.8.2 pytz==2022.1 PyWavelets==1.1.1 pyzmq==23.2.1 scikit-image==0.17.2 scikit-learn==0.24.2 scipy==1.5.4 Send2Trash==1.8.0 Shapely==1.8.4 six==1.16.0 terminado==0.12.1 testpath==0.6.0 threadpoolctl==3.1.0 tifffile==2020.9.3 tomli==1.2.3 torch==1.10.1 torch-summary==1.4.5 torchinfo==1.5.4 torchsummary==1.5.1 torchvision==0.11.2 tornado==6.1 tqdm==4.64.0 traitlets==4.3.3 typed-ast==1.5.4 typing_extensions==4.1.1 wcwidth==0.2.5 webencodings==0.5.1 xlrd==2.0.1 zipp==3.6.0 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>

Treeboy2762 commented 1 year ago

@jihyeheo While I'm not the author, it is highly unlikely. You probably need your own toy dataset :p

jihyeheo commented 1 year ago

@Treeboy2762 ㅠ 너무하시네 ㅠ.ㅠ

Treeboy2762 commented 1 year ago

@Treeboy2762 ㅠ 너무하시네 ㅠ.ㅠ

아무래도 듀크대 병원데이터라 공개하긴 어려울거에요.. 저도 조만간 실험해볼 생각이라 만들면 공유해드릴게요 ㅋㅋㅋㅋ

jihyeheo commented 1 year ago

@Treeboy2762 ㅋㅋㅋㅋㅋ엌ㅋㅋㅋㅋㅋ 엇 약간 비슷한 느낌이 드는 샘플 데이터(오픈 데이터셋 중에..?)가 있는 지 물어본건데 듀크대 병원데이터의 샘플이라고 들릴수도 있겠군요! ㅋㅋㅋㅋ 감사합니다!! 역시 유망하시군요!!