RSNA-End-to-End-Predicting-Cancer-probability

problem : In this competition our goal is to predict the presence or absence of cancer in mammography images.
helped Notebooks: in our journey i will use some hopefull ideas from other notebook and i will mention them in description
Tasks we will cover in this section
1. Per-Processing images
  - understand the data
  - explore data from diffrent view perspective
  - Technic to processes data to feed into the mode
    1. read images in each case Patient_ID
    2. Resize the image and Crop the ROI ( region of intersted
    3. save the process the image in npy format
    4. extrat the image label from Train.Csv file
    5. Virtualize few sample

Run

python train.py --stage 'train' --gpus 0 --Epochs 200

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