AIMC Topic: Histology

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Deep learning nuclei detection: A simple approach can deliver state-of-the-art results.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 17, 2018
BACKGROUND: Deep convolutional neural networks have become a widespread tool for the detection of nuclei in histopathology images. Many implementations share a basic approach that includes generation of an intermediate map indicating the presence of ...
Algorithms Deep Learning Image Interpretation, Computer-Assisted Cell Nucleus Histology
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Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.

Journal of biomedical informatics Dec 18, 2016
Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster or...
Humans Reproducibility of Results Biological Ontologies Pathology Histology
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From Scope to Screen: The Evolution of Histology Education.

Advances in experimental medicine and biology Jan 1, 2020
Histology, the branch of anatomy also known as microscopic anatomy, is the study of the structure and function of the body's tissues. To gain an understanding of the tissues of the body is to learn the foundational underpinnings of anatomy and achiev...
Humans Artificial Intelligence Curriculum Histological Techniques Computer-Assisted Instruction Educational Technology Histology
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