I apply Mask R-CNN to detect the pathological section of gastric cancer

Here is a detection sample(rest is in the assets directory): ground true

detection

Keras preprocessing source code should be modified if you want to use data augment

Requirements

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
.idea		.idea
assets		assets
image_augmentor_py2.7		image_augmentor_py2.7
images		images
samples/balloon		samples/balloon
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
ReshapeNumpyArray.ipynb		ReshapeNumpyArray.ipynb
RotateImage.ipynb		RotateImage.ipynb
StomachCancer.py		StomachCancer.py
coco.py		coco.py
config.py		config.py
demo.ipynb		demo.ipynb
imagerot.ipynb		imagerot.ipynb
inspect_data.ipynb		inspect_data.ipynb
inspect_model.ipynb		inspect_model.ipynb
inspect_weights.ipynb		inspect_weights.ipynb
model.py		model.py
model1.py		model1.py
numpyarray.ipynb		numpyarray.ipynb
parallel_model.py		parallel_model.py
shapes.py		shapes.py
train_shapes.ipynb		train_shapes.ipynb
train_stomach_cancer.ipynb		train_stomach_cancer.ipynb
utils.py		utils.py
visualize.py		visualize.py