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

Problem Description

• 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

  • to the train step following this command

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