4. The non-transitory computer-readable storage medium of claim 3 , where segmenting the image into a candidate mitosis patch comprises: generating a blue-ratio image by converting the image from RBG color space to a blue-ratio color space; computing a Laplacian of Gaussian (LoG) response for the blue-ratio image, and identifying a candidate nuclei by integrating globally fixed thresholding and local dynamic thresholding.
4. The non-transitory computer-readable storage medium of claim 3 , where segmenting the image into a candidate mitosis patch comprises: generating a blue-ratio image by converting the image from RBG color space to a blue-ratio color space; computing a Laplacian of Gaussian (LoG) response for the blue-ratio image, and identifying a candidate nuclei by integrating globally fixed thresholding and local dynamic thresholding. 5. The non-transitory computer-readable storage medium of claim 4 , where the CNN comprises: a first convolutional layer that has at least P units, P being a number; a first pooling layer connected to the first convolutional layer, where the first pooling layer has at least Q units, Q being a number; a second convolutional layer connected to the first pooling layer, where the second convolutional layer has at least X units, X being a number greater than P and greater than Q; a second pooling layer connected to the second convolutional layer, where the second pooling layer has Y units, Y being a number greater than P and greater than Q; a fully-connected layer connected to the second pooling layer, where the fully-connected layer has Z units, Z being a number greater than Y and greater than X, and an output layer connected to the fully-connected layer, where the output layer has at least two output units.