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Analyzing Feature Significance from Various Systems for Mass Diagnosis

Ping Zhang, Kuldeep Kumar
2006 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)  
., Kumar, K. and Verma, B. (2005), A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography, ICNC'05-FSKD'05,Lecture Notes of Artificial Intelligence, Vol 3614, Verma  ...  ., Brusic,V. (2008), Computational simulations of the immune system for personalized medicine: state of the art and challenges.  ... 
doi:10.1109/cimca.2006.46 dblp:conf/cimca/ZhangK06 fatcat:wre3i3ujpbaojfyp5hpsjo5dse

Algorithms for Image Analysis and Combination of Pattern Classifiers with Application to Medical Diagnosis [article]

Harris Georgiou
2009 arXiv   pre-print
levels of a modern system for computer-aided diagnosis (CAD).  ...  minimum computational costs for advanced diagnostic systems.  ...  Firstly, the qualitative clinical features for mammographic diagnosis were identified and analyzed by statistical and pattern classification methods.  ... 
arXiv:0910.3348v1 fatcat:jefigxi7zvgchkzobdgqthxvqy

A Research on Breast Cancer Detection using Mammography

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Those methods were employed to produce systems to support radiologists and physicians attain more accurate diagnosis.  ...  Accurate segmentation and classification of various tumors in the mammography plays a complex role in the early diagnosis of breast cancer.  ...  In feature extraction and selection, various features extracted from the image and these features used to distinguish malignant or benign.  ... 
doi:10.35940/ijitee.a4904.119119 fatcat:thkqpfl4qvfmdouf4cbfwkykje

Untargeted metabolomic analysis of urine samples in the diagnosis of some inherited metabolic disorders

Hana Janeckova, Alzbeta Kalivodova, Lukas Najdekr, David Friedecky, Karel Hron, Per Bruheim, Tomas Adam
2015 Biomedical Papers of the Faculty of Medicine of Palacky University  
Samples were analyzed by liquid chromatography on aminopropyl column in aqueous normal phase separation system using gradient elution of acetonitrile/ammonium acetate.  ...  Detection was performed by time-of-flight mass spectrometer fitted with electrospray ionisation in positive mode.  ...  Royston Goodacre, School of Chemistry and Manchester Interdisciplinary Biocentre (University of Manchester, UK) for help with data processing.  ... 
doi:10.5507/bp.2014.048 pmid:25482736 fatcat:tzvw6yr6yffvhb57xwoxgm4cum

Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis

Si Eun Lee, Ji Eun Moon, Yun Ho Rho, Eun-Kyung Kim, Jung Hyun Yoon
2017 Ultrasonography  
A US-CAD system was applied to the grayscale sonograms, which were automatically analyzed and visualized in order to generate a final assessment.  ...  Methods: A total of 193 breast masses in 175 consecutive women (mean age, 46.4 years) from June to August 2015 were included. US and elastography images were obtained and recorded.  ...  Studies have proven the ACR BI-RADS lexicon for US to be an effective system in the differential diagnosis of breast masses and the detection of malignancies [2] [3] [4] .  ... 
doi:10.14366/usg.16033 pmid:27764908 pmcid:PMC5381849 fatcat:vgdzshlu6ncu5cghwyxpez6c7a

Performance evaluation of machine learning techniques in lung cancer classification from PET/CT images
Evaluacija performansi tehnika mašinskog učenja kod klasifikacije karcinoma pluća na osnovu snimaka PET/CET skenera

K. Punithavathy, Sumathi Poobal, M.M. Ramya
2019 FME Transaction  
Various hyper-parameters and model parameters for the ML techniques have been tuned to fix optimal parameters for better performance. 10-fold cross validation was used to analyze the performance of the  ...  Computer Aided Diagnosis (CAD) systems have been developed using Machine Learning (ML) and Artificial Intelligence (AI) techniques in detecting malicious regions from medical images.  ...  Authors also thank the management of Hindustan Institute of Technology & Science for their motivation and encouragement to carry out the research work.  ... 
doi:10.5937/fmet1903418p fatcat:subl2qj2tnah5axr7uhshec57m

PERFORMANCE ANALYSIS OF GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURE FEATURES FOR GLAUCOMA DIAGNOSIS

Karthikeyan
2014 American Journal of Applied Sciences  
Second order textural features are extracted for different quantization levels namely 8, 16, 32, 64, 128 and 256 in four orientations viz 0, 45, 90 and 135° for various distances.  ...  First order features from histogram and second order features from Gray Level Co-occurrence Matrix (GLCM) are extracted from the preprocessed image as textural features reflects physiological changes in  ...  A glaucoma diagnosis system based on texture features using the less expensive digital fundus images are analyzed to discriminate normal and glaucomatous images.  ... 
doi:10.3844/ajassp.2014.248.257 fatcat:e2ewrksq4bg3jickjgs3grcpo4

Diagnosing breast masses using ICA and non-image features

A. García-Manso, R. Gallardo-Caballero, C.J. García-Orellana, H.M. González-Velasco, M. Macías-Macías
2016 Neural Network World  
One of the most challenging task for Computer Aided Diagnosis (CADx) systems designed to diagnose breast cancer is to be able to differentiate between benign and malignant masses.  ...  Performance results are provided for all the valid masses in a public database, obtaining a statistically significant improvement by adding age to image-based features.  ...  The results obtained in the experiments suggest that ICA can be considered as a serious technique for feature extraction when designing a CADx system for the diagnosis of masses.  ... 
doi:10.14311/nnw.2016.26.002 fatcat:oqz4uxaksfg6lkjqakylptgac4

Artificial Intelligence in Breast Ultrasound: The Emerging Future of Modern Medicine

Srushti S Mahant, Anuj R Varma
2022 Cureus  
AI is gaining popularity in the identification of various images. Therefore, it has been widely used in the ultrasound of the breast.  ...  AI in ultrasound lays significant focus on distinguishing between benign and malignant masses related to the breast. Radiologists nowadays interpret, analyze, and detect breast images.  ...  Nowadays, significant CAD systems are progressing to detect calcifications in mammography.  ... 
doi:10.7759/cureus.28945 fatcat:hjmfhoe2qbc73hwvsja2i33vza

Computer-aided diagnostic models in breast cancer screening

Turgay Ayer, Mehmet US Ayvaci, Ze Xiu Liu, Oguzhan Alagoz, Elizabeth S Burnside
2010 Imaging in Medicine  
CADx models are decision aids for radiologists characterizing findings from radiologic images (e.g., size, contrast and shape) identified either by a radiologist or a CADe model [15].  ...  Here we provide a comprehensive review for mammography, US and MRI CADx models in breast cancer diagnosis. We start by summarizing CADx models proposed for mammography interpretation.  ...  Nattkemper et al. analyzed various machine learning methods using four morphologic and five kinetic tumor features found on MRI as input [67] .  ... 
doi:10.2217/iim.10.24 pmid:20835372 pmcid:PMC2936490 fatcat:i52bpgqdobhangconx65b26vs4

Cancer Biomarkers Classification from SELDI-TOF Mass Spectrometry for Clinical Proteomics: An Approach of Dimensionality Reduction

Azween Abdullah, Ramachandran Ponnan
2016 British Journal of Applied Science and Technology  
to get an efficient system for cancer diagnosis [16] .  ...  In recent years, there has been significant improvement in early diagnosis of cancerous biomarkers from high dimensional mass spectrometry data [3, 13] .  ...  COMPETING INTERESTS Authors have declared that no competing interests exist. dimensionality reduction for SELDI-TOF data.  ... 
doi:10.9734/bjast/2016/30660 fatcat:b7z2sgg2vncnvmhbabjqhovaae

Pectus Excavatum and MASS Phenotype: An Unknown Association

Francesca Tocchioni, Marco Ghionzoli, Guglielmina Pepe, Antonio Messineo
2012 Journal of Laparoendoscopic and Advanced Surgical Techniques  
Conclusions: PE showed an evident association with an array of features that we describe as MASS.  ...  The aim of this study is to verify the clinical significance of such correlation.  ...  For the MASS subset we calculated a grade, proposed as the MASS score, 27 which ranged from 1 to 4, based on the presence/absence of clinical features related to connectivopathy such as mitral valve  ... 
doi:10.1089/lap.2012.0009 pmid:22568544 fatcat:5i3sj2t73nfv5dtifiiee7ezla

Potential model for differential diagnosis between Crohn's disease and primary intestinal lymphoma

Tian-Yu Zhang, Yun Lin, Rong Fan, Shu-Rong Hu, Meng-Meng Cheng, Mao-Chen Zhang, Li-Wen Hong, Xiao-Lin Zhou, Zheng-Ting Wang, Jie Zhong
2016 World Journal of Gastroenterology  
RESULTS The demographic and clinical parameters that showed significant values for differentiating CD from PIL included age of onset, symptom duration, presence of diarrhea, abdominal mass, and perianal  ...  The endoscopic parameters that showed significant values for differentiating CD from PIL included multiple-site lesions, longitudinal ulcer, irregular ulcer, Submit a Manuscriptand intraluminal proliferative  ...  Some valuable parameters have been proposed, but no scoring system has been established for differential diagnosis.  ... 
doi:10.3748/wjg.v22.i42.9411 pmid:27895429 pmcid:PMC5107705 fatcat:4snraxcq6jgwfcdgab54dnfb4y

Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines

Michael Mavroforakis, Harris Georgiou, Nikos Dimitropoulos, Dionisis Cavouras, Sergios Theodoridis
2005 European Journal of Radiology  
similar automated diagnosis system.  ...  This study is focused on identifying a robust set of clinical features that can be used as the base for designing the input of any computer-aided diagnosis system for automatic mammographic tumor evaluation  ...  This means that, in order to have a fully automated diagnosis system that is based on objective feature measurements of various textural properties, several of these features have to be optimally combined  ... 
doi:10.1016/j.ejrad.2004.12.015 pmid:15797296 fatcat:rm24mee3drdl3nxjimllsgkpmy

Investigation of Levels of Purines and Pyrimidines in Children's Urine

Ilgar S Mamedov, rina V Zolkina, Vladimir S Sukhorukov
2017 Advanced Techniques in Biology & Medicine  
This article is intended for clinicians, laboratory diagnostician, and specialists in the field of clinical genetics, pediatric neurologists.  ...  This article presents reference ranges of normal levels of purines and pyrimidines and changes of these values in various pathologies, such as hereditary diseases in children.  ...  Results Analysis of urine chromatograms of patients obtained by liquid tandem mass spectrometry from children with various disorders of purine and pyrimidine metabolism in comparison with the urine chromatograms  ... 
doi:10.4172/2379-1764.1000247 fatcat:fmi55bj4xrej7cclyewleroreu
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