BioMedical-image-processing

this repo about implement Deep Learning technic on Medical images using Pytorch Meta AI Framwork and tools analysis images

• Chapter 1: fundational Numpy Operation

  • Most used built-methods in Numpy are :

    • Reshape method

          import numpy as np 
          np.random.seed(42) 
          matrix = np.random.rand(25)  ## keep in mind ndim must be equal  
          matrix.reshape(3,5).ndim ## output ==> 2D 

    • Slicing and indexing

        import numpy as np 
        np.random.seed(42) 
        matrix3d = np.random.rand(2,3,5)
        print(matrix3d)
        slice_3d = matrix3d[0,:2,1:3] 
        # slice in 2D is [start-row:end-row ,start-col:end-col]
        #slicing in 3D [start-axis:end-axis , start-row:end-row,start-col:end-col]