Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives
Traumatic brain injury (TBI) occurs due to the disruption in the normal functioning of the
brain by sudden external forces. The primary and secondary injuries due to TBI include …
brain by sudden external forces. The primary and secondary injuries due to TBI include …
A color and texture based hierarchical K-NN approach to the classification of non-melanoma skin lesions
This chapter proposes a novel hierarchical classification system based on the K-Nearest
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …
Medical image analysis using wavelet transform and deep belief networks
This paper introduces a three-step framework for classifying multiclass radiography images.
The first step utilizes a de-noising technique based on wavelet transform (WT) and the …
The first step utilizes a de-noising technique based on wavelet transform (WT) and the …
Wavelet optimization for content-based image retrieval in medical databases
G Quellec, M Lamard, G Cazuguel, B Cochener… - Medical image …, 2010 - Elsevier
We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid
in medical fields. In the proposed system, images are indexed in a generic fashion, without …
in medical fields. In the proposed system, images are indexed in a generic fashion, without …
Computer-aided diagnosis in mammography using content-based image retrieval approaches: current status and future perspectives
B Zheng - Algorithms, 2009 - mdpi.com
As the rapid advance of digital imaging technologies, the content-based image retrieval
(CBIR) has became one of the most vivid research areas in computer vision. In the last …
(CBIR) has became one of the most vivid research areas in computer vision. In the last …
Content-based microscopic image retrieval system for multi-image queries
HC Akakin, MN Gurcan - IEEE transactions on information …, 2012 - ieeexplore.ieee.org
In this paper, we describe the design and development of a multitiered content-based image
retrieval (CBIR) system for microscopic images utilizing a reference database that contains …
retrieval (CBIR) system for microscopic images utilizing a reference database that contains …
Medical image classification using spatial adjacent histogram based on adaptive local binary patterns
D Liu, S Wang, D Huang, G Deng, F Zeng… - Computers in biology and …, 2016 - Elsevier
Medical image recognition is an important task in both computer vision and computational
biology. In the field of medical image classification, representing an image based on local …
biology. In the field of medical image classification, representing an image based on local …
Content based medical image retrieval using dictionary learning
In this paper, a clustering method using dictionary learning is proposed to group large
medical databases. An approach grou** similar images into clusters that are sparsely …
medical databases. An approach grou** similar images into clusters that are sparsely …
Multimodal medical information retrieval with unsupervised rank fusion
Modern medical information retrieval systems are paramount to manage the insurmountable
quantities of clinical data. These systems empower health care experts in the diagnosis of …
quantities of clinical data. These systems empower health care experts in the diagnosis of …
Deep hierarchical multi-label classification of chest X-ray images
Chest X-rays (CXRs) are a crucial and extraordinarily common diagnostic tool, leading to
heavy research for Computer-Aided Diagnosis (CAD) solutions. However, both high …
heavy research for Computer-Aided Diagnosis (CAD) solutions. However, both high …