[HTML][HTML] OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI

EM Sweeney, RT Shinohara, N Shiee, FJ Mateen… - NeuroImage …, 2013 - Elsevier
Magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple
sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its …

Ischemic stroke lesion detection, characterization and classification in CT images with optimal features selection

R Kanchana, R Menaka - Biomedical Engineering Letters, 2020 - Springer
Ischemic stroke is the dominant disorder for mortality and morbidity. For immediate
diagnosis and treatment plan of ischemic stroke, computed tomography (CT) images are …

Robust, atlas-free, automatic segmentation of brain MRI in health and disease

K Selvaganesan, E Whitehead, PM DeAlwis… - Heliyon, 2019 - cell.com
Background Brain-and lesion-volumes derived from magnetic resonance images (MRI)
serve as important imaging markers of disease progression in neurodegenerative diseases …

Unsupervised medical image classification by combining case-based classifiers

TA Dinh, T Silander, B Su, T Gong, BC Pang… - MEDINFO …, 2013 - ebooks.iospress.nl
We introduce an automated pathology classification system for medical volumetric brain
image slices. Existing work often relies on handcrafted features extracted from automatic …

Automated prediction of glasgow outcome scale for traumatic brain injury

B Su, TA Dinh, AK Ambastha, T Gong… - 2014 22nd …, 2014 - ieeexplore.ieee.org
Clinical features found in brain CT scan images are widely used in traumatic brain injury
(TBI) as indicators for Glasgow Outcome Scale (GOS) prediction. However, due to the lack of …

[PDF][PDF] Tchoyoson; PANG, Boon Chuan; LEE, Cheng Kiang; Tze-Yun LEONG; and TAN, Chew Lim. Automated Prediction of Glasgow Outcome Scale for Traumatic …

B SU, TA DINH, AK AMBASTHA, T GONG… - ICPR 2014: 22nd … - core.ac.uk
Clinical features found in brain CT scan images are widely used in traumatic brain injury
(TBI) as indicators for Glasgow Outcome Scale (GOS) prediction. However, due to the lack of …

[PDF][PDF] AUTOMATIC IMAGE ANNOTATION SYSTEM FOR CHEST X-RAYS

JN Olawuyi, BS Afolabi, B Ibitoye - Njepuome Auditorium, 2017 - researchgate.net
Labeling of a huge of medical images that roll into the hospital on a daily basis is becoming
an enormous task for Radiologist. As a result patients have to wait for some days before the …

New approaches to automated annotation of pathology-level findings in medical images

DT ANH - 2013 - scholarbank.nus.edu.sg
Medical image annotation aims to improve the effectiveness and efficiency of keyword-
based image retrieval. In this work, we focus on automated pathology annotation that tries to …