Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading
Also available in printed version
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | Doctoral thesis |
| اللغة: | الإنجليزية |
| منشور في: |
Universiti Teknologi Malaysia
2025
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://utmik.utm.my/handle/123456789/56429 |
| Abstract | Abstract here |
| _version_ | 1854975087365586944 |
|---|---|
| author | Naveed Abbas |
| author2 | Abdul Hanan Abdullah, supervisor |
| author_facet | Abdul Hanan Abdullah, supervisor Naveed Abbas |
| author_sort | Naveed Abbas |
| description | Also available in printed version |
| format | Doctoral thesis |
| id | utm-123456789-56429 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-564292025-08-21T05:26:43Z Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading Naveed Abbas Abdul Hanan Abdullah, supervisor Computing Also available in printed version Malaria is a global health problem and in its examination, light microscopy is the gold standard to grade Malaria Parasitemia as a crucial indicator of the degree of infection. Although automated assistance is a better solution, the developed techniques are unable to grade the cases deviating from normal Red Blood Cell (RBC) morphology. This research developed a methodology to grade Malaria Parasitemia accurately through segmentation of parasites and splitting the occlusions of RBCs based on morphology independent factors. The methodology is based on two alternate techniques, enhanced Gaussian Mixture Model (GMM) and more efficient Dynamic Convolution based Filtering (DCF). The occlusions of RBCs are split through four alternate techniques, namely through boundary, concavity regions, local maxima and interactive cuts based points analysis to accurately identify the infected RBCs to grade Malaria Parasitemia. The evaluation was carried out on standard datasets consisting of 125 images against the ground truth marked and verified by two panels of pathologists. The Malaria Parasitemia through GMM based segmentation of parasites combined with local maxima based splitting of occluded RBCs achieved sensitivity of 98.0% and specificity of 97.1%. Besides that, GMM based segmentation of parasites combined with interactive cuts based splitting of occluded RBCs achieved a sensitivity of 98.9% and specificity of 98.6% on DPDx image dataset. Malaria Parasitemia through DCF based segmentation of parasites combined with local maxima based splitting of occluded RBCs achieved a sensitivity of 97.4% and specificity of 97.1% while DCF based segmentation of parasites combined with interactive cuts based splitting occluded RBCs achieved a sensitivity of 98.4% and specificity of 98.6% on DPDx image dataset. The findings have shown improvement in the accuracy of grading Malaria Parasitemia through these alternative techniques based on RBC morphological independent factors and surpassed other state-of-the-art techniques atiff UTM 319 p. Thesis (Ph.D (Sains Komputer)) - Universiti Teknologi Malaysia, 2015 2025-03-17T04:26:09Z 2025-03-17T04:26:09Z 2015 Doctoral thesis https://utmik.utm.my/handle/123456789/56429 valet-20170219-16509 vital:95615 ENG Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Computing Naveed Abbas Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| thesis_level | PhD |
| title | Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| title_full | Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| title_fullStr | Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| title_full_unstemmed | Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| title_short | Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| title_sort | segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading |
| topic | Computing |
| url | https://utmik.utm.my/handle/123456789/56429 |
| work_keys_str_mv | AT naveedabbas segmentationofparasitesandsplittingofredbloodcellsapproachesformalariaparasitemiagrading |