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» Learning Histopathological Microscopy
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ICAPR
2005
Springer
10 years 5 months ago
Learning Histopathological Microscopy
Histopathological tissue analysis by microscopy is a process that is subjective, prone to inter- and intra-observer variation. This, along with the problems associated with verbali...
James Shuttleworth, Alison Todman, Mark Norrish, M...
ICPR
2010
IEEE
9 years 10 months ago
An Exploration Scheme for Large Images: Application to Breast Cancer Grading
—Most research works focus on pattern recognition within a small sample images but strategies for running efficiently these algorithms over large images are rarely if ever speci...
Antoine Veillard, Nicolas Lomenie, Daniel Racocean...

Publication
400views
9 years 6 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...
ISBI
2008
IEEE
11 years 11 days ago
Pathological image segmentation for neuroblastoma using the GPU
We present a novel use of GPUs (Graphics Processing Units) for the analysis of histopathologicalimages of neuroblastoma, a childhood cancer. Thanks to the advent of modern microsc...
Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boy...
JBI
2007
148views Bioinformatics» more  JBI 2007»
9 years 11 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...
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