A literature survey on bag of visual words model for classification of histopathological images with deep learning.

In the present era of Deep learning algorithms whose impact is at a greater extent in identifying and classifying the electronic medical images based on Content Based Image Retrieval (CBIR) systems where a user queries an histopathological images based on the visual content which leads to non accurate results. In this paper after reviewing all the references we propose an image annotation approach which automatically assigns keywords to images based on the visual content by which querying task will be easier one as we classify the images based on supervised learning aspects to perform mapping between features and concepts or class labels called as Bag of Words (BoW). In this paper we compared the remarkable researches from 2006 to till date publications and compared them in terms of methodology adapted. [ABSTRACT FROM AUTHOR]

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