cancan101

from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D
from keras.optimizers import Adamax

import numpy as np
from keras.preprocessing.image import ImageDataGenerator


def main():

cancan101

/*! dicom-parser - v1.5.0 - 2016-05-08 | (c) 2014 Chris Hafey | https://github.com/chafey/dicomParser */
(function (root, factory) {

    // node.js
    if (typeof module !== 'undefined' && module.exports) {
        module.exports = factory();
    }
    else if (typeof define === 'function' && define.amd) {
        // AMD. Register as an anonymous module.
        define([], factory);

cancan101

sess, meta_graph_def = session_bundle.load_session_bundle_from_path(input)
signatures_any = sess.graph.get_collection(constants.SIGNATURES_KEY)
signatures = manifest_pb2.Signatures()
signatures_any[0].Unpack(signatures)

inputs = signatures.named_signatures['inputs'].generic_signature
input_name = inputs.map['images'].tensor_name

cancan101

#include <Accelerate/Accelerate.h>
#include <stdio.h>
#include <sys/time.h>
#include <stdlib.h>
#include <string.h>


int main(int argc, const char * argv[])
{
  // Description of the input image stack