Carola Wenk's web pages.

Biomedical Applications

There are many computational problems that arise in biology or medicine. I am especially interested in geometric problems that occur for example in biomedical image analysis.

Related projects:

Quantifying Morphologic Phenotypes in Prostate Cancer - Developing Topological Descriptors for Machine Learning Algorithms
Develop mathematical and computational tools based on topological descriptors and machine learning in order to distinguish between different morphological types of prostate cancer.

Towards Automated Quantitative Prostate Cancer Diagnosis
Develop quantitative topological descriptors that capture architectural features of prostate glands in pathology images.

Analysis of 2D Electrophoresis Gels
Correctly modeling the shapes of protein spots in 2D electrophoresis gels as well as comparing two and more of such gels is highly important in Computational Proteomics.

Neuron Morphometrics
Semi-automated processing of cultured neuron images.

Last modified by Carola Wenk, cwenk -at- tulane -dot- edu ,

	Quantifying Morphologic Phenotypes in Prostate Cancer - Developing Topological Descriptors for Machine Learning Algorithms Develop mathematical and computational tools based on topological descriptors and machine learning in order to distinguish between different morphological types of prostate cancer.
	Towards Automated Quantitative Prostate Cancer Diagnosis Develop quantitative topological descriptors that capture architectural features of prostate glands in pathology images.
	Analysis of 2D Electrophoresis Gels Correctly modeling the shapes of protein spots in 2D electrophoresis gels as well as comparing two and more of such gels is highly important in Computational Proteomics.
	Neuron Morphometrics Semi-automated processing of cultured neuron images.