Breast cancer: Modelling and detection
This paper reviews a number of the mathematical models used in cancer modelling and then chooses a specific cancer, breast carcinoma, to illustrate how the modelling can be used in aiding detection. We then discuss mathematical models that underpin mammographic image analysis, which complements mode...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2002
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| _version_ | 1826277405020389376 |
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| author | Gavaghan, D Brady, J Behrenbruch, C Highnam, R Maini, P |
| author_facet | Gavaghan, D Brady, J Behrenbruch, C Highnam, R Maini, P |
| author_sort | Gavaghan, D |
| collection | OXFORD |
| description | This paper reviews a number of the mathematical models used in cancer modelling and then chooses a specific cancer, breast carcinoma, to illustrate how the modelling can be used in aiding detection. We then discuss mathematical models that underpin mammographic image analysis, which complements models of tumour growth and facilitates diagnosis and treatment of cancer. Mammographic images are notoriously difficult to interpret, and we give an overview of the primary image enhancement technologies that have been introduced, before focusing on a more detailed description of some of our own recent work on the use of physics-based modelling in mammography. This theoretical approach to image analysis yields a wealth of information that could be incorporated into the mathematical models, and we conclude by describing how current mathematical models might be enhanced by use of this information, and how these models in turn will help to meet some of the major challenges in cancer detection. |
| first_indexed | 2024-03-06T23:28:24Z |
| format | Journal article |
| id | oxford-uuid:6b334af9-d0e3-4eef-9e5a-ee710429708a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T23:28:24Z |
| publishDate | 2002 |
| record_format | dspace |
| spelling | oxford-uuid:6b334af9-d0e3-4eef-9e5a-ee710429708a2022-03-26T19:02:12ZBreast cancer: Modelling and detectionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6b334af9-d0e3-4eef-9e5a-ee710429708aEnglishSymplectic Elements at Oxford2002Gavaghan, DBrady, JBehrenbruch, CHighnam, RMaini, PThis paper reviews a number of the mathematical models used in cancer modelling and then chooses a specific cancer, breast carcinoma, to illustrate how the modelling can be used in aiding detection. We then discuss mathematical models that underpin mammographic image analysis, which complements models of tumour growth and facilitates diagnosis and treatment of cancer. Mammographic images are notoriously difficult to interpret, and we give an overview of the primary image enhancement technologies that have been introduced, before focusing on a more detailed description of some of our own recent work on the use of physics-based modelling in mammography. This theoretical approach to image analysis yields a wealth of information that could be incorporated into the mathematical models, and we conclude by describing how current mathematical models might be enhanced by use of this information, and how these models in turn will help to meet some of the major challenges in cancer detection. |
| spellingShingle | Gavaghan, D Brady, J Behrenbruch, C Highnam, R Maini, P Breast cancer: Modelling and detection |
| title | Breast cancer: Modelling and detection |
| title_full | Breast cancer: Modelling and detection |
| title_fullStr | Breast cancer: Modelling and detection |
| title_full_unstemmed | Breast cancer: Modelling and detection |
| title_short | Breast cancer: Modelling and detection |
| title_sort | breast cancer modelling and detection |
| work_keys_str_mv | AT gavaghand breastcancermodellinganddetection AT bradyj breastcancermodellinganddetection AT behrenbruchc breastcancermodellinganddetection AT highnamr breastcancermodellinganddetection AT mainip breastcancermodellinganddetection |