Abstract

AbstractIn this book chapter, the authors aim to deliver in-depth details about the applications of deep learning and swarm intelligent algorithms for image-based cancer recognition and diagnosis. In this study, we first describe the overview of popular architectures of deep learning and swarm intelligent algorithms used for cancer recognition. In deep learning, we talk about convolutional neural networks, fully connected convolutional networks, and auto-encoders. In swarm intelligent algorithms, we talk about architecture of genetic algorithms. Secondly, this study presents a brief survey about the research exploiting deep learning and swarm intelligent algorithms for cancer recognition.

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