e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers 2020

Apr 2021 - Volume 12, Issue 2
Deadline: 15 Mar 2021
Publication: 20 Apr 2021

Jun 2021 - Volume 12, Issue 3
Deadline: 15 May 2021
Publication: 20 Jun 2021

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ABSTRACT

Title : CONTENT BASED MEDICAL IMAGE RETRIEVAL SYSTEM FOR ACCURATE DISEASE DIAGNOSES USING MODIFIED MULTI FEATURE FUSED XCEPTION MODEL
Authors : Mayank R. Kapadia, Dr. Chirag N. Paunwala
Keywords : Content Based Medical Image Retrieval (CBMIR); Xception model; Deep Learning.
Issue Date : Jan-Feb 2021
Abstract :
The Content Based Medical Image Retrieval (CBMIR) system helps to fulfill the need to diagnose the disease and provide proper treatment. The numerous complex deep neural networks are being applied to solve the same problem. This paper aims to design a simpler and accurate deep neural network-based CBMIR system. To achieve the same, the original Xception model is compressed by 58.33% by reducing the number of layers. The features of intermediate layers are fused to increase the accuracy of the proposed modified Xception model. This modified Multi-Feature Fused Xception (MFF-Xception) model is tested for two different X-ray image datasets: Image Retrieval in Medical Application (IRMA) dataset and the human’s chest dataset. It gives an Average Precision Rate (APR) of 90.14% for the IRMA dataset while providing 100% APR for the human chest dataset. It is also tested for another dataset containing skin images of seven different diseases and gives an APR of 100% for the skin dataset. The proposed modified MFF-Xception model also shows significant performance improvement over the original Xception model for all three datasets.
Page(s) : 89-100
ISSN : 0976-5166
Source : Vol. 12, No.1
PDF : Download
DOI : 10.21817/indjcse/2021/v12i1/211201179