From 4022cd967f7fb7000e78c64684aa14a91308dc23 Mon Sep 17 00:00:00 2001
From: longkun123 <1256904448@qq.com>
Date: Wed, 16 Oct 2019 17:10:06 +0800
Subject: [PATCH] P_Mask_RCNN
---
.gitignore | 57 +
README.md | 73 +
annotations/instances_all.json | 407715 ++++++++++++++++++++++++++++
annotations/instances_test.json | 1 +
annotations/instances_train.json | 1 +
annotations/instances_val.json | 18352 ++
images/01123.jpg | Bin 0 -> 60605 bytes
images/01135.jpg | Bin 0 -> 59373 bytes
images/1.png | Bin 0 -> 217713 bytes
images/area.png | Bin 0 -> 18336 bytes
images/feature_map.png | Bin 0 -> 22297 bytes
images/mixture_gauss.png | Bin 0 -> 124366 bytes
images/p2.jpg | Bin 0 -> 251573 bytes
images/position_distribution.png | Bin 0 -> 217713 bytes
images/sample_by_gauss.png | Bin 0 -> 187194 bytes
images/stride1.png | Bin 0 -> 22347 bytes
locations/sample_points.txt | 54016 ++++
locations/sample_points2.txt | 53781 ++++
mrcnn/__init__.py | 1 +
mrcnn/config.py | 237 +
mrcnn/model.py | 3135 +
mrcnn/parallel_model.py | 175 +
mrcnn/pulmonary_embolism.py | 406 +
mrcnn/sampling_module.py | 113 +
mrcnn/utils.py | 986 +
mrcnn/visualize.py | 500 +
pulmonary_embolism.py | 448 +
requirements.txt | 12 +
sampling/__init__.py | 0
sampling/config.py | 14 +
sampling/gmm_em.py | 131 +
sampling/sample.py | 98 +
32 files changed, 540252 insertions(+)
create mode 100644 .gitignore
create mode 100644 README.md
create mode 100644 annotations/instances_all.json
create mode 100644 annotations/instances_test.json
create mode 100644 annotations/instances_train.json
create mode 100644 annotations/instances_val.json
create mode 100644 images/01123.jpg
create mode 100644 images/01135.jpg
create mode 100644 images/1.png
create mode 100644 images/area.png
create mode 100644 images/feature_map.png
create mode 100644 images/mixture_gauss.png
create mode 100644 images/p2.jpg
create mode 100644 images/position_distribution.png
create mode 100644 images/sample_by_gauss.png
create mode 100644 images/stride1.png
create mode 100644 locations/sample_points.txt
create mode 100644 locations/sample_points2.txt
create mode 100644 mrcnn/__init__.py
create mode 100644 mrcnn/config.py
create mode 100644 mrcnn/model.py
create mode 100644 mrcnn/parallel_model.py
create mode 100644 mrcnn/pulmonary_embolism.py
create mode 100644 mrcnn/sampling_module.py
create mode 100644 mrcnn/utils.py
create mode 100644 mrcnn/visualize.py
create mode 100644 pulmonary_embolism.py
create mode 100644 requirements.txt
create mode 100644 sampling/__init__.py
create mode 100644 sampling/config.py
create mode 100644 sampling/gmm_em.py
create mode 100644 sampling/sample.py
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..2898c2d
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,57 @@
+.git/
+logs/
+datasets/
+results/
+temp/
+test/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# VS Studio Code
+.vscode
+
+# PyCharm
+.idea/
+
+# Dropbox
+.dropbox.attr
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# dotenv
+.env
+
+# virtualenv
+.venv
+venv/
+ENV/
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..a6a9312
--- /dev/null
+++ b/README.md
@@ -0,0 +1,73 @@
+# P_mask_RCNN for pulmonary embolism(PE) detection and segmentation
+
+This is an implementation of P_Mask RCNN
+on Python 3, Keras, and TensorFlow>=1.10, <2.0. The code inherits from [Mask RCNN]
+(https://github.com/matterport/Mask_RCNN). We mainly modified its RPN part.
+Our method has a better performance on small object detection.
+
+
+
+The repository includes:
+* the source code of Mask RCNN
+* the source code of constructing Guassian mixture model(GMM) and the implements of
+the Expectation-Maximization(EM) algorithm
+* the source code of sample from GMM
+* the source code of the RPN model of P_mask_RCNN
+
+#Data Description
+to reproduce the results of the experiment in our paper, you should download the PE dataset
+from [here](https://figshare:com/authors/MojtabaMasoudi/5215238).
+
+The dataset is provided in dicom form, you should change it to jpg form, first. After that,
+you should generate a label file for the coco dataset using the mask label provided by the dataset,
+and replace the file in the [annotations](annotations) directory.
+you can also use the label file provided by us. If you use our label files,
+You need to rename each image in the following format: "%2d%3d.jpg" % (patient_id, slice_index),
+and divide the data set to 3 parts, including: train, test and val, with the image name contained in each label file.
+
+The dataset includes 35 patients. A total of 8,792 CTPA images with
+the size of 512×512 pixels are included, of which 2,304
+contained lesion areas with 3781 PE regions of interest(PE-ROIs) altogether.More than 85% of these PE-ROIs are small
+objects with the square root of the area≤32 pixels which only
+occupy on average 0.3% of the image area.
+
+
+#Getting started
+Install the required package:
+```
+pip install -r requirements.txt
+```
+
+* [sampling.sample.py](sampling/sample.py) is the module to build GMM and sample points from GMM and save it to the
+[locations](locations) directory. you can run it and plot the GMM in a 3D Coordinate System.
+```
+python sampling/sample.py
+```
+the result are as follows:
+
+ 
+ 
+
+
+* [pulmonary_embolism.py](pulmonary_embolism.py) is the main file to train and validate P_Mask_RCNN.
+You can download pre-trained COCO weights (mask_rcnn_coco.h5) from the [releases page](https://github.com/matterport/Mask_RCNN/releases)
+to init the weight of the model.You can also use the [model](model/mask_rcnn_pulmonary.h5) we have pre-train to evaluate P_Mask_RCNN directly.
+
+To train your own model, run:
+```
+python pulmonary_embolism.py training --dataset="your dataset path" --model="your model weight file.h5"
+```
+To evaluate the model, run:
+```
+python pulmonary_embolism.py inference --dataset="your dataset path" --model="your model weight file.h5"
+```
+
+
+
+
+
+
+
+
+
+
diff --git a/annotations/instances_all.json b/annotations/instances_all.json
new file mode 100644
index 0000000..da21e84
--- /dev/null
+++ b/annotations/instances_all.json
@@ -0,0 +1,407715 @@
+{
+ "info": {
+ "description": "self Dataset",
+ "url": "http://cocodataset.org",
+ "version": "1.0",
+ "year": 2019,
+ "contributor": "longkun",
+ "date_created": "2019/07/06"
+ },
+ "licenses": [
+ {
+ "url": "http://creativecommons.org/licenses/by-nc-sa/2.0/",
+ "id": 1,
+ "name": "Attribution-NonCommercial-ShareAlike License"
+ }
+ ],
+ "categories": [
+ {
+ "supercategory": "pulmonary embolism",
+ "id": 1,
+ "name": "pulmonary embolism"
+ }
+ ],
+ "images": [
+ {
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diff --git a/annotations/instances_test.json b/annotations/instances_test.json
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index 0000000..8b1718c
--- /dev/null
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