Medical Image Retrieval: A Multimodal Approach

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Medical Image Retrieval: A Multimodal Approach

Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research. Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical pr...

متن کامل

A Probabilistic Approach to Medical Image Retrieval

We present a probabilistic approach to the medical retrieval task. We experimented with the Westerveld method [1] to obtain our results for ImageCLEF. In addition to these results we describe our findings of involving a medical expert in our research. The expert helped us identifying useful image retrieval applications and reflected upon the setup of ImageCLEF’s medical task. Finally we describ...

متن کامل

A 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 کامل

Multimodal Medical Image Retrieval: OHSU at ImageCLEF 2008

We present results from Oregon Health & Science University’s participation in the medical image retrieval task of ImageCLEF 2008. We created a web-based retrieval system built on a full-text index of the annotations using a Ruby on Rails framework. The text-based search engine was implemented in Ruby using Ferret, a port of Lucene. In addition to this textual index of annotations, supervised ma...

متن کامل

Multimodal Medical Image Retrieval: Improving Precision at ImageCLEF 2009

We present results from Oregon Health & Science University’s participation in the medical retrieval task of ImageCLEF 2009. This year, we focused on improving retrieval performance, especially early precision, in the task of solving medical multimodal queries. These queries contain visual data, given as a set of image-examples, and textual data, provided as a set of words belonging to three dim...

متن کامل

ذخیره 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: Cancer Informatics

سال: 2014

ISSN: 1176-9351,1176-9351

DOI: 10.4137/cin.s14053