4 Result(s)
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Chapter and Conference Paper
Identifying Neutrophils in H&E Staining Histology Tissue Images
Identifying neutrophils lays a crucial foundation for diagnosing acute inflammation diseases. But, such computerized methods on the commonly used H&E staining histology tissue images are lacking, due to variou...
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Chapter and Conference Paper
Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters
Neutrophils are a primary type of immune cells, and their identification is critical in clinical diagnosis of active inflammation. However, in H&E histology tissue slides, the appearances of neutrophils are hi...
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Chapter and Conference Paper
Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning
Architecture distortions of glands and villi are indication of chronic inflammation. However, the “duality” nature of these two structures causes lots of ambiguity for their detection in H&E histology tissue i...
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Chapter and Conference Paper
A Deep Learning Approach for Semantic Segmentation in Histology Tissue Images
To make reliable diagnosis, pathologists often need to identify certain special regions in medical images. In inflammatory bowel disease (IBD) diagnosis via histology tissue image examination, muscle regions a...
