An Efficient Medical Image Retrieval and Classification using Deep Neural Network
نویسندگان
چکیده
منابع مشابه
Medical image retrieval using deep convolutional neural network
With a widespread use of digital imaging data in hospitals, the size of medical image repositories is increasing rapidly. This causes difficulty in managing and querying these large databases leading to the need of content based medical image retrieval (CBMIR) systems. A major challenge in CBMIR systems is the semantic gap that exists between the low level visual information captured by imaging...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملContent Based Image Retrieval and Classification Using Image Features and Deep Neural Network
With the development of the Internet, and the availability of image capturing devices such as image scanners, the size of digital image collection is rising quickly. A well-organized image searching, browsing and retrieval tools are essential for users from different domains, including remote sensing, crime prevention, publishing, medicine, architecture, etc. Therefore, several general purpose ...
متن کاملDeep Quantization Network for Efficient Image Retrieval
Hashing has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval. Supervised hashing improves the quality of hash coding by exploiting the semantic similarity on data pairs and has received increasing attention recently. For most existing supervised hashing methods for image retrieval, an image is first represented as a vector of hand-crafted or machin...
متن کاملImage Retrieval Method for Deep Neural Network
Because of the large data in the image database, the key problem of the retrieval algorithm is to retrieve the required image in the short time. Aiming at this problem, this article given a self-learning deep belief neural network method, and through building layers, input, output, and self-learning algorithm in network architecture to get global algorithm for image retrieval. The accuracy and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2020
ISSN: 0974-6846,0974-5645
DOI: 10.17485/ijst/v13i39.1621