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Deep Learning Based Classification of Focal Liver Lesions with 3 and 4 Phase Contrast-Enhanced CT Protocols(4 series)

Deep Learning Based Classification of Focal Liver Lesions with 3 and 4 Phase Contrast-Enhanced CT Protocols

Deep Learning Based Classification of Focal Liver Lesions with 3 and 4 Phase Contrast-Enhanced CT Protocols

Define network architecture Read and preprocss CT dataset Train and apply network Evaluate and save network Note: Read labelsAdd classlabelMap category to indexCreate collectioncell with label indexInput shape: 28,28,1Kernel 3,3 Filter 10Poolsize 2,23*3*30Epochs: 50Batch Size: 10Normalizeimages70% training30% testingEvalutate the modelSave thetrained modelin a .h5 fileClass with highest probabilityKernel 3,3 Filter 20Kernel 3,3 Filter 30Poolsize 2,2NormalizeimagesNormalizeimagesNormalizeimagesInput shape: 28,28,1Input shape: 28,28,1Input shape: 28,28,1Kernel 3,3 Filter 10Poolsize 2,2Kernel 3,3 Filter 203*3*30Kernel 3,3 Filter 30Poolsize 2,2Kernel 3,3 Filter 10Poolsize 2,2Kernel 3,3 Filter 203*3*30 Units: 100Activation ReLUUnits 4Activation: SoftmaxKernel 3,3 Filter 30Poolsize 2,2Kernel 3,3 Filter 10Poolsize 2,2Kernel 3,3 Filter 20Kernel 3,3 Filter 30Poolsize 2,23*3*30270*2270*2540*2Poolsize 2,2Poolsize 2,2Poolsize 2,2Poolsize 2,2CSV Reader Cell Replacer Category To Number Create CollectionColumn Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras NetworkLearner Image Calculator Partitioning Keras NetworkExecutor Scorer Read Images Keras NetworkWriter Extract Prediction Keras Convolution2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Image Calculator Image Calculator Image Calculator Keras Input Layer Keras Input Layer Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Flatten Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras ConcatenateLayer Keras ConcatenateLayer Keras ConcatenateLayer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Define network architecture Read and preprocss CT dataset Train and apply network Evaluate and save network Note: Read labelsAdd classlabelMap category to indexCreate collectioncell with label indexInput shape: 28,28,1Kernel 3,3 Filter 10Poolsize 2,23*3*30Epochs: 50Batch Size: 10Normalizeimages70% training30% testingEvalutate the modelSave thetrained modelin a .h5 fileClass with highest probabilityKernel 3,3 Filter 20Kernel 3,3 Filter 30Poolsize 2,2NormalizeimagesNormalizeimagesNormalizeimagesInput shape: 28,28,1Input shape: 28,28,1Input shape: 28,28,1Kernel 3,3 Filter 10Poolsize 2,2Kernel 3,3 Filter 203*3*30Kernel 3,3 Filter 30Poolsize 2,2Kernel 3,3 Filter 10Poolsize 2,2Kernel 3,3 Filter 203*3*30 Units: 100Activation ReLUUnits 4Activation: SoftmaxKernel 3,3 Filter 30Poolsize 2,2Kernel 3,3 Filter 10Poolsize 2,2Kernel 3,3 Filter 20Kernel 3,3 Filter 30Poolsize 2,23*3*30270*2270*2540*2Poolsize 2,2Poolsize 2,2Poolsize 2,2Poolsize 2,2CSV Reader Cell Replacer Category To Number Create CollectionColumn Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras NetworkLearner Image Calculator Partitioning Keras NetworkExecutor Scorer Read Images Keras NetworkWriter Extract Prediction Keras Convolution2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Image Calculator Image Calculator Image Calculator Keras Input Layer Keras Input Layer Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Flatten Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras ConcatenateLayer Keras ConcatenateLayer Keras ConcatenateLayer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Keras Max Pooling2D Layer

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