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 …
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 …
Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex
OB Ahmed, M Mizotin, J Benois-Pineau, M Allard… - … Medical Imaging and …, 2015 - Elsevier
Recently, several pattern recognition methods have been proposed to automatically
discriminate between patients with and without Alzheimer's disease using different imaging …
discriminate between patients with and without Alzheimer's disease using different imaging …
Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets
The growing interest in machine learning (ML) in healthcare is driven by the promise of
improved patient care. However, how many ML algorithms are currently being used in …
improved patient care. However, how many ML algorithms are currently being used in …
A fusion-based approach for uterine cervical cancer histology image classification
Expert pathologists commonly perform visual interpretation of histology slides for cervix
tissue abnormality diagnosis. We investigated an automated, localized, fusion-based …
tissue abnormality diagnosis. We investigated an automated, localized, fusion-based …
[PDF][PDF] Artificial intelligence in clinical medicine and dentistry
M Miladinović, B Mihailović, D Mladenović… - Vojnosanitetski …, 2017 - doiserbia.nb.rs
* Clinic of Dental Medicine, Faculty of Medicine, University of Priština/Kosovska Mitrovica,
Kosovska Mitrovica, Serbia;† Clinic of Dental Medicine, Faculty of Medicine, University of …
Kosovska Mitrovica, Serbia;† Clinic of Dental Medicine, Faculty of Medicine, University of …
Automated selection of abdominal MRI series using a DICOM metadata classifier and selective use of a pixel-based classifier
Accurate, automated MRI series identification is important for many applications, including
display (“hanging”) protocols, machine learning, and radiomics. The use of the series …
display (“hanging”) protocols, machine learning, and radiomics. The use of the series …
[图书][B] Image pattern recognition: fundamentals and applications
This book describes various types of image patterns for image retrieval. All these patterns
are texture dependent. Few image patterns such as Improved directional local extrema …
are texture dependent. Few image patterns such as Improved directional local extrema …
Automated text detection and recognition in annotated biomedical publication images
Images in biomedical publications often convey important information related to an article's
content. When referenced properly, these images aid in clinical decision support …
content. When referenced properly, these images aid in clinical decision support …
[PDF][PDF] Survey on Content based Image Retrieval to Deal with Rapid Growth of Digital Images
N Barya, H Jaiswal - International Journal of Computer Applications, 2015 - academia.edu
Development in image retrieval systems has increased in large part due to the rapid growth
of the digital images produced by World Wide Web and high capacity of digital data storage …
of the digital images produced by World Wide Web and high capacity of digital data storage …