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Author:
Lei Cao
Summary:
Deep learning tools for digital histology
Latest version:
0.2.0
Required dependencies:
click
|
configspace
|
crc32c
|
fpdf2
|
gast
|
gdown
|
glfw
|
imageio
|
imgui
|
matplotlib
|
numpy
|
opencv-python-headless
|
pandas
|
parameterized
|
pillow
|
protobuf
|
pyarrow
|
pyopengl
|
pyperclip
|
pyvips
|
rasterio
|
requests
|
rich
|
saliency
|
scikit-image
|
scikit-learn
|
scipy
|
seaborn
|
shapely
|
smac
|
tabulate
|
tensorboard
|
tqdm
|
triangle
|
umap-learn
|
zarr
Optional dependencies:
cellpose
|
cucim
|
cupy-cuda11x
|
cupy-cuda12x
|
fastai
|
pretrainedmodels
|
pytorch-lightning
|
segmentation-models-pytorch
|
slideflow-gpl
|
slideflow-noncommercial
|
spacy
|
tensorflow
|
tensorflow_datasets
|
tensorflow_probability
|
timm
|
torch
|
torchvision
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