A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases
L Ma, X Liu, L Song, C Zhou, X Zhao, Y Zhao - … Medical Imaging and …, 2015 - Elsevier
Common CT imaging signs of lung diseases (CISL) play important roles in the diagnosis of
lung diseases. This paper proposes a new method of multiple classifier fusion to recognize …
lung diseases. This paper proposes a new method of multiple classifier fusion to recognize …
Grayscale image statistics of COVID-19 patient CT scans characterize lung condition with machine and deep learning
S Ghashghaei, DA Wood, E Sadatshojaei… - Chronic Diseases and …, 2022 - mednexus.org
Background: Grayscale image attributes of computed tomography (CT) of pulmonary scans
contain valuable information relating to patients with respiratory ailments. These attributes …
contain valuable information relating to patients with respiratory ailments. These attributes …
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns
S Mabu, M Obayashi, T Kuremoto, N Hashimoto… - International journal of …, 2017 - Springer
Purpose For realizing computer-aided diagnosis (CAD) of computed tomography (CT)
images, many pattern recognition methods have been applied to automatic classification of …
images, many pattern recognition methods have been applied to automatic classification of …
Grayscale Image Statistical Attributes Effectively Distinguish the Severity of Lung Abnormalities in CT Scan Slices of COVID-19 Patients
S Ghashghaei, DA Wood, E Sadatshojaei… - SN Computer …, 2023 - Springer
Grayscale statistical attributes analysed for 513 extract images taken from pulmonary
computed tomography (CT) scan slices of 57 individuals (49 confirmed COVID-19 positive; …
computed tomography (CT) scan slices of 57 individuals (49 confirmed COVID-19 positive; …
A new classifier fusion method based on confusion matrix and classification confidence for recognizing common CT imaging signs of lung diseases
L Ma, X Liu, L Song, Y Liu, C Zhou… - Medical Imaging …, 2014 - spiedigitallibrary.org
Common CT Imaging Signs of Lung Diseases (CISL) are defined as the imaging signs that
frequently appear in lung CT images from patients and play important roles in the diagnosis …
frequently appear in lung CT images from patients and play important roles in the diagnosis …
A hybrid ensemble feature selection-based learning model for COPD prediction on high-dimensional feature space
SRB Banda, TR Babu - … Technology: Proceedings of 3rd ICDECT-2K19, 2020 - Springer
Chronic obstructive pulmonary disease (COPD) can be identified by airflow limitation in
lungs, and this condition is not at all reversible. Generally, the diagnosis process of COPD …
lungs, and this condition is not at all reversible. Generally, the diagnosis process of COPD …
[HTML][HTML] CT Image Analysis Using Grayscale Statistics to Categorise Severity of Lung Abnormalities of COVID-19 Patients
S Ghashghaei, DA Wood, E Sadatshojaei, M Jalilpoor - 2021 - europepmc.org
Grayscale image attributes from 456 images extracted from CT scan slices of 53 patients (49
with COVID-19 and 4 without) are used to establish a visual scale of severity of lung …
with COVID-19 and 4 without) are used to establish a visual scale of severity of lung …
Classification of idiopathic interstitial pneumonia CT images using convolutional-net with sparse feature extractors
We propose a computer aided diagnosis (CAD) system for classification of idiopathic
interstitial pneumonias (IIPs). High resolution computed tomography (HRCT) images are …
interstitial pneumonias (IIPs). High resolution computed tomography (HRCT) images are …
[PDF][PDF] CR 画像からの関節リウマチの画像診断支援法に関する研究
村上誠一， ムラカミセイイチ - 2018 - core.ac.uk
CR画像からの関節リウマチの画像診断支援法に関す る研究 Page 1 CR画像からの関節リウマチの
画像診断支援法に関す る研究 著者 村上 誠一 その他のタイトル Study on The Computer-Aided …
画像診断支援法に関す る研究 著者 村上 誠一 その他のタイトル Study on The Computer-Aided …