An ensemble of fine-tuned convolutional neural networks for medical image classification
The availability of medical imaging data from clinical archives, research literature, and
clinical manuals, coupled with recent advances in computer vision offer the opportunity for …
clinical manuals, coupled with recent advances in computer vision offer the opportunity for …
Effective diagnosis and treatment through content-based medical image retrieval (CBMIR) by using artificial intelligence
Medical-image-based diagnosis is a tedious task ‚and small lesions in various medical
images can be overlooked by medical experts due to the limited attention span of the human …
images can be overlooked by medical experts due to the limited attention span of the human …
Developing intelligent medical image modality classification system using deep transfer learning and LDA
M Hassan, S Ali, H Alquhayz, K Safdar - Scientific reports, 2020 - nature.com
Rapid advancement in imaging technology generates an enormous amount of
heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists …
heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists …
A modified similarity measurement for image retrieval scheme using fusion of color, texture and shape moments
N Varish - Multimedia Tools and Applications, 2022 - Springer
In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
Optimal Deep Neural Network model based multimodality fused medical image classification
Medical image fusion and classification has been utilized to get valuable significant data
multimodality medical image data. The fundamental commitment of this paper is to extricate …
multimodality medical image data. The fundamental commitment of this paper is to extricate …
Medical image retrieval via nearest neighbor search on pre-trained image features
Nearest neighbor search, also known as NNS, is a technique used to locate the points in a
high-dimensional space closest to a given query point. This technique has multiple …
high-dimensional space closest to a given query point. This technique has multiple …
[HTML][HTML] A unified learning framework for content based medical image retrieval using a statistical model
K Seetharaman, S Sathiamoorthy - … of King Saud University-Computer and …, 2016 - Elsevier
This paper presents a unified learning framework for heterogeneous medical image retrieval
based on a Full Range Autoregressive Model (FRAR) with the Bayesian approach (BA) …
based on a Full Range Autoregressive Model (FRAR) with the Bayesian approach (BA) …
Term dependency extraction using rule-based Bayesian Network for medical image retrieval
Abstract Text-Based Medical Image Retrieval (TBMIR) has been known to be successful in
retrieving medical images with textual descriptions. Usually, these descriptions are very brief …
retrieving medical images with textual descriptions. Usually, these descriptions are very brief …
Medical image modality classification using discrete Bayesian networks
In this paper we propose a complete pipeline for medical image modality classification
focused on the application of discrete Bayesian network classifiers. Modality refers to the …
focused on the application of discrete Bayesian network classifiers. Modality refers to the …
Multimodal medical image retrieval system
In this paper we depict an implemented system for medical image retrieval. Our system
performs retrieval based on both textual and visual content, separately and combined, using …
performs retrieval based on both textual and visual content, separately and combined, using …