Unsupervised morphological segmentation of tissue compartments in histopathological images

S Fouad, D Randell, A Galton, H Mehanna, G Landini - PloS one, 2017 - journals.plos.org
Algorithmic segmentation of histologically relevant regions of tissues in digitized
histopathological images is a critical step towards computer-assisted diagnosis and …

[PDF][PDF] Review on histopathological slide analysis using digital microscopy

S Bhattacharjee, J Mukherjee, S Nag… - International Journal of …, 2014 - academia.edu
With the increasing research on better algorithms for segmentation of image, it is important
to categories the already known technique, their conceptual basis and their overview. This …

The complexities involved in the analysis of Fourier Transform Infrared Spectroscopy of breast cancer data with clustering algorithms

S Naqvi, JM Garibaldi - 2011 3rd Computer Science and …, 2011 - ieeexplore.ieee.org
Fourier Transform Infrared Spectroscopy (FTIR) is a relatively new technique that has been
frequently applied now a days in cancer pathology including breast cancer. The long term …

[HTML][HTML] Comparison of clustering methods for failure data analysis: a real life application

G Petrović, Ž Ćojbašić - … Conference on Industrial Systems (IS'11) …, 2011 - books.google.com
Clustering is a fundamental and widely applied method in understanding and exploring data
sets. This paper presents comparison of clustering methods application for failure data …

[PDF][PDF] An Overview of the Application of Fuzzy Inference System for the Automation of Breast

S Naqvi, JM Garibaldi - Citeseer
Breast cancer is one of the most frequent occurring cancers in women throughout the world
including UK The grading of this cancer plays a vital role in the prognosis of the disease. In …

[引用][C] An Overview of the Application of Fuzzy Inference System for the Automation of Breast Cancer Grading with Spectral Data

S Naqvi, JM Garibaldi - International Journal of Biomedical and Biological …, 2012