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Title: :  A Survey on Tumour Hypoxia from Multi-modal Microscopy Images
PaperId: :  6791
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 5 2017
DUI:    16.0415/IJARIIE-6791
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sonali AdsureVACOEA Ahmednagar, Maharashtra, India

Abstract

Computer
Weakly Supervised Training, Latent Structured Output Learning, High order loss function.
Malignant tumors that contain a high proportion of regions privileged of adequate oxygen supply in areas supplied by a microvessel. Given the importance of the estimation of this proportion for improving the clinical prognosis of such treatments, a manual annotation has been proposed, which uses two image modalities of the same histological specimen and produces the number and proportion of MCSUs classified as normoxia (normal oxygenation level), chronic hypoxia (limited diffusion), and acute hypoxia (transient disruptions in perfusion), but this manual annotation requires an expertise that is generally not available in clinical settings. Therefore, in this paper, we propose a new methodology that automates this annotation. The major challenge is that the training set comprises weakly labeled samples that only contains the number of MCSU types per sample, which means that we do not have the underlying structure of MCSU locations and classifications. Hence, we formulate this problem as a latent structured output learning that minimizes a high order loss function based on the number of MCSU types, where the underlying MCSU structure is exible in terms of number of nodes and connections. Using a database of 89 pairs of weakly annotated images (from eight tumors), we show that our methodology produces highly correlated number and proportion of MCSU types compared to the manual annotations.

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IJARIIE Sonali Adsure. "A Survey on Tumour Hypoxia from Multi-modal Microscopy Images" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 5 2017 Page 1212-1215
MLA Sonali Adsure. "A Survey on Tumour Hypoxia from Multi-modal Microscopy Images." International Journal Of Advance Research And Innovative Ideas In Education 3.5(2017) : 1212-1215.
APA Sonali Adsure. (2017). A Survey on Tumour Hypoxia from Multi-modal Microscopy Images. International Journal Of Advance Research And Innovative Ideas In Education, 3(5), 1212-1215.
Chicago Sonali Adsure. "A Survey on Tumour Hypoxia from Multi-modal Microscopy Images." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 5 (2017) : 1212-1215.
Oxford Sonali Adsure. 'A Survey on Tumour Hypoxia from Multi-modal Microscopy Images', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, 2017, p. 1212-1215. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Survey_on_Tumour_Hypoxia_from_Multi_modal_Microscopy_Images_ijariie6791.pdf (Accessed : 04 January 2018).
Harvard Sonali Adsure. (2017) 'A Survey on Tumour Hypoxia from Multi-modal Microscopy Images', International Journal Of Advance Research And Innovative Ideas In Education, 3(5), pp. 1212-1215IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Survey_on_Tumour_Hypoxia_from_Multi_modal_Microscopy_Images_ijariie6791.pdf (Accessed : 04 January 2018)
IEEE Sonali Adsure, "A Survey on Tumour Hypoxia from Multi-modal Microscopy Images," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, pp. 1212-1215, Sep-Oct 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Survey_on_Tumour_Hypoxia_from_Multi_modal_Microscopy_Images_ijariie6791.pdf [Accessed : 04 January 2018].
Turabian Sonali Adsure. "A Survey on Tumour Hypoxia from Multi-modal Microscopy Images." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 5 (04 January 2018).
Vancouver Sonali Adsure. A Survey on Tumour Hypoxia from Multi-modal Microscopy Images. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 04 January 2018]; 3(5) : 1212-1215. Available from: https://ijariie.com/AdminUploadPdf/A_Survey_on_Tumour_Hypoxia_from_Multi_modal_Microscopy_Images_ijariie6791.pdf
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