Add the readme for the hematologic disease classification

examples/healthcare/application/Hematologic_Disease/readme.md

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+# 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
+```