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Segmentation of blood cells is a prerequisite step in automated morphological analysis of blood smear images, cell count determination and diagnosis of various diseases such as leukemia. It is extremely challenging due to different sizes, shapes, morphological characteristics and overlapping of blood cells. Due to its complicated nature, it is gene...
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... used at the end of the network helps to associate each of the n-component feature maps to its corresponding classes. Thus, relevant features are learned and the decoder outputs a mask corresponding to the input image. In this paper, a network of dual encoder-decoder has been proposed which consists of two sub-networks X 1 and X 2 as shown in Fig. 3. A 3-channel RGB input is passed to the encoder which downsamples the image feature map and increases the count of channels using convolution operation. Now, the spatial resolution of the image has been reduced and only significant 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 ...
