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Tissue/cell segmentation in histopathological imagery


Project Description

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease. This is necessary to provide accurate, evidence-based diagnostic decisions and accurate prognostic parameters.

Many of the tools pioneered by our team are based on digital image processing / analysis with an ultimate goal of developing intelligent diagnostic instrumentation.

Funding Notes

We have a thriving international Researcher community and encourage applications from students of any nationality able to fund their own studies (Government scholarship), or who wish to apply for their own funding (e.g. Islamic Development Bank International PhD Scholarships, China Scholarship Council).

At present, we would only consider applications from prospective students with:
- a good biomedical or engineering/computing degree,
- good command of the English language as outlined in the postgraduate prospectus,
- competency with computers and data handling (ideally with Java programming skills),
- a source of funding to cover tuition fees and bench fees.

References

Landini G. Iannaccone P. Modelling of patterns in chimaeric liver and adrenal cortex: algorithmic organogenesis? FASEB Journal 14, 823-827, 2000.
Landini G, Hirayama Y, Li TJ, Kitano M. Increased fractal complexity of the epithelial-connective tissue interface in the tongue of 4NQO-treated rats. Pathology Research and Practice 196, 251-258, 2000.
Iannaccone P, Morley S, Skimina T, Mullins J, Landini G. Cord-like mosaic patches in the adrenal cortex are fractal: implications for growth and development. FASEB Journal 17: 41-43, 2003.
Landini G, Othman IE. Estimation of tissue layer level by sequential morphological reconstruction. Journal of Microscopy, 209(2): 118-125, 2003.
Abu Eid R, Landini G. Quantification of the global and local complexity of the epithelial-connective tissue interface of normal, dysplastic and neoplastic oral mucosae using digital imaging. Pathology Research and Practice 199(7):475-482, 2003.
Landini G, Othman IE. Architectural analysis of oral cancer, dysplastic and normal epithelia. Cytometry A, 61A: 45-55, 2004.
Ward JP, Magar V, Franks SJ, Landini G. A model on the dynamics of odontogenic cyst growth. Analytical and Quantitative Cytology and Histology, 26 (1): 39-46, 2004.
Abu Eid R, Landini G. The Morphometry of Pseudoepitheliomatous Hyperplasia: An Objective Comparison to Normal and Dysplastic Oral Mucosae. Analytical and Quantitative Cytology and Histology 27(4): 232-40, 2005
Abu Eid R, Landini G. Morphometrical differences between pseudo-epitheliomatous hyperplasia in granular cell tumours and squamous cell carcinomas. Histopathology 48: 407-416, 2006.
Landini G. Quantitative analysis of the epithelial lining architecture in odontogenic cysts. Head and Face Medicine 2 (Feb):4, 2006.

How good is research at University of Birmingham in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 15.90

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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