Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image.
Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer begins with the analysis of bone X-ray or MRI image. Compared to MRI, an X-ray image provides a low-cost diagnostic tool for diagnosis and visualizatio...
| Publicado en: | Journal of Digital Imaging Vol. 32; no. 2; pp. 300 - 314 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135821487&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135821487 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2019 vid: 32 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 135821487 135821487 135821487 10.1007/s10278-018-0145-0 135821487 ppf: 300 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image. aug: au: Bandyopadhyay, Oishila Biswas, Arindam Bhattacharya, Bhargab B. affil: Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani, Kalyani, India sug: subj: Bone Neoplasms Diagnosis Neoplasm Staging Evaluation Neoplasm Grading Evaluation Bone and Bones Radiography Human Bone Neoplasms Analysis Bone and Bones Physiology Neoplasms Classification Digital Imaging ab: Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer begins with the analysis of bone X-ray or MRI image. Compared to MRI, an X-ray image provides a low-cost diagnostic tool for diagnosis and visualization of bone cancer. In this paper, a novel technique for the assessment of cancer stage and grade in long bones based on X-ray image analysis has been proposed. Cancer-affected bone images usually appear with a variation in bone texture in the affected region. A fusion of different methodologies is used for the purpose of our analysis. In the proposed approach, we extract certain features from bone X-ray images and use support vector machine (SVM) to discriminate healthy and cancerous bones. A technique based on digital geometry is deployed for localizing cancer-affected regions. Characterization of the present stage and grade of the disease and identification of the underlying bone-destruction pattern are performed using a decision tree classifier. Furthermore, the method leads to the development of a computer-aided diagnostic tool that can readily be used by paramedics and doctors. Experimental results on a number of test cases reveal satisfactory diagnostic inferences when compared with ground truth known from clinical findings. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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