Histopathology deals with the diagnosis and grading of cancer and other diseases by analysing cell-level microscopic tissue images. Despite the widespread proliferation of modern imaging modalities, such as CT, MR etc, pathology based on histological sections of the tissue images remains the most reliable way of diagnosing and grading tissue level diseases of various organs. There is therefore a great demand for the development of computational methods to support human experts in histopathology, making it more reliable and reproducible than ever before.
Next to histopathology, there is also a growing interest in bioimage processing in the fields of life sciences and pharmacology. There, microscopy data unfolds the spatial information on the molecular level which can not be evaluated using the classic "omics" methods. And the increasing degree of automation in preparation, labelling and imaging causes a strong demand for automated image analysis.
In this workshop, leading researchers will present and discuss some of their recent advances in the areas of computational histopathology and microscopy image analysis. Additionally, novel technologies and future challenges in these areas will be discussed. Papers are invited on relevant topics including, but not limited to:
- image reconstruction
- image retrieval
- object detection/classification
- system evaluation
- novel computational architectures
Workshop webpage: http://www2.warwick.ac.uk/fac/sci/dcs/research/mimic/chip_isbi08
Nasir Rajpoot (University of Warwick, UK)
Tim Nattkemper (Bielefeld University, Germany)
Metin Gurcan (Ohio State University, USA)
For any further information, please contact Nasir Rajpoot.