Merge pull request #1241 from solopku/patch-8

Add the readme for the hematologic disease classification

examples/healthcare/application/Hematologic_Disease/readme.md

@@ -0,0 +1,44 @@
+<!--
+    Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+      http://www.apache.org/licenses/LICENSE-2.0
+
+    Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+-->
+# CNN demo model on BloodMnist dataset
+
+## About dataset
+Download address: https://drive.google.com/drive/folders/1Ze9qri1UtAsIRoI0SJ4YRpdt5kUUMBEn?usp=sharing
+
+The BloodMNIST , as a sub set of [MedMNIST](https://medmnist.com/), is based on a dataset of individual normal cells, captured from individuals without infection, hematologic or oncologic disease and free of any pharmacologic treatment at the moment of blood collection. 
+It contains a total of 17,092 images and is organized into 8 classes. 
+it is split with a ratio of 7:1:2 into training, validation and test set. 
+The source images with resolution 3×360×363 pixels are center-cropped into 3×200×200, and then resized into 3×28×28.
+
+8 classes of the dataset: 
+```python
+"0": "basophil",
+"1": "eosinophil",
+"2": "erythroblast",
+"3": "ig (immature granulocytes)",
+"4": "lymphocyte",
+"5": "monocyte",
+"6": "neutrophil",
+"7": "platelet"
+```
+
+## Command
+```bash
+python train_cnn.py cnn bloodmnist -dir pathToDataset
+```