# Cancerfree Intern Journal Club
### --revised 2021

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### Journal Framework

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### prerequisite
* [what is neural network](https://www.youtube.com/watch?v=aircAruvnKk)
* [Deep through CNN](https://medium.com/@RaghavPrabhu/understanding-of-convolutional-neural-network-cnn-deep-learning-99760835f148)
### Techniques(Based on CT scan images)
* Data gathering--->==Deep Learning==

* Data processing
* Image data augmentation (IADLT) --->increase sample sizes of data --->increase the accuracy of training

* Bat algorithm for data equalization (IBA)--->(1)solve overfitting (2)reduce model noise

* Object Detection
* CNN(RCNN )




* Intersect Over Union (IOU)

* **IOU** -> $\frac{Intersection Area}{Union Area}$ $0 \le IOU\le 1$

* Region of Interest(ROI)

* Data exchange(security)--->==Blockchain(distributed ledger)==

* Interplanetary file system(IPFS)




* implement smart contract (solidity)


* Deployed smart contracts
* Transaction details

* Transaction link on rinkeby etherscan
* Transaction deployed successfully

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### Experimental Results Evaluation

#### evaluation explanation
* training set
* testing set
* batch size--->samples trained one time
* epoch --->all of the traiing set trained at a time
* iteration--->batch size trained at a time
* ex:training sets=1000,batch size=10,iteration=100,epoch=1