63 citations
5 papers
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification
Sam Maksoud, Kun Zhao, Peter Hobson +2
The difficulty of processing gigapixel whole slide images (WSIs) in clinical microscopy has been a long-standing barrier to implementing computer aided diagnostic systems. Since mo…
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks
Teng Zhang, Johanna Carvajal, Daniel F. Smith +5
This work tackles the automatic fine-grained slide quality assessment problem for digitized direct smears test using the Gram staining protocol. Automatic quality assessment can pr…
Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification
Arnold Wiliem, Peter Hobson, Brian C. Lovell
Recently, there has been a growing interest in developing Computer Aided Diagnostic (CAD) systems for improving the reliability and consistency of pathology test results. This pape…
Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching
Arnold Wiliem, Conrad Sanderson, Yongkang Wong +3
This paper describes a novel system for automatic classification of images obtained from Anti-Nuclear Antibody (ANA) pathology tests on Human Epithelial type 2 (HEp-2) cells using…
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors
Arnold Wiliem, Yongkang Wong, Conrad Sanderson +3
The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used to identify the existence of various diseases. A hallmark method for identifying the presence of ANAs is th…