A Study of Tissue Image Segmentation Based on Deep Learning

Exploring the Applications of Deep Learning in Tissue Image Segmentation

Abstract

Tissue segmentation aims at partitioning an image into segments corresponding to different tissue classes. In healthy subjects, these classes are biologically defined as specific types of tissue, whole organs, or sub-regions of organs, deep learning is mainly used in data dimensionality reduction, handwritten number recognition, pattern recognition and other fields. Such as image recognition, image repair, image segmentation, object tracking, scene analysis, etc., showing very high effectiveness and the mainly study which discussed about Image Segmentation, Applications of Image Segmentation, Image Segmentation and Deep Learning, Most Popular Image Segmentation Datasets, Overview of Deep Learning , Convolutional Neural, Networks, 2D and 3D Convolutional Neural Networks, Image Processing Using Deep Learning