Abstract
Nowadays, medical field is a one with a need for paramount concern and research where medical sciences are at a stage that needs extensive research and technical proposals so as to meet the increasingly complex challenges. The identification and analysis of diseases are getting harder as they get even more sophisticated as ever before. In this study, authors have discussed one such aspect of the medical sciences, Brain tumor detection and the Magnetic Resonance Imaging (MRI) image segmentation are done in order to make tumor detection automated and there are a few deep learning techniques that are potentially effective to do such tasks. They have also elaborated the basic concepts involved in segmentation and the image preprocessing steps. Lastly, the deep learning techniques that can be used for medical image segmentation are elucidated, which is the eccentric essence of this chapter.
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Mittal, M., Arora, M., Pandey, T., Goyal, L.M. (2020). Image Segmentation Using Deep Learning Techniques in Medical Images. In: Verma, O., Roy, S., Pandey, S., Mittal, M. (eds) Advancement of Machine Intelligence in Interactive Medical Image Analysis. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-1100-4_3
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