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Cell Encoding for Histopathology Image Classification

2017
Although many image analysis algorithms can achieve good performance with sufficient number of labeled images, manually labeling images by pathologists is time consuming and expensive. Meanwhile, with the development of cell detection and segmentation techniques, it is possible to classify pathology images by using cell-level information, which is ...
Xiaoshuang Shi   +4 more
openaire   +1 more source

Multimegapixel images in histopathology.

Analytical and quantitative cytology and histology, 2001
To describe methods and procedures for the assembly of very large scale microscopic image arrays.Microscopic imagery was recorded on different video microphotometers, equipped either with a three-chip CCD Sony MD 760 (Park-ridge, New Jersey, U.S.A.), a COHU vidicon (San Diego, California, U.S.A.) or a PROGRES camera (JenOptik, Jena, Germany), yielding ...
D, Thompson   +6 more
openaire   +1 more source

Image Processing Techniques for Histopathology.

2011
In the last few years biologists and pathologists are relying more and more on image analysis, and immunohistochemistry (IHC) is nowadays one of the most popular imaging techniques to analyze the presence and activity of target antigens in the tissues, with important applications in the diagnosis and assessment of tumors as well as for several research
openaire   +1 more source

A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images

IEEE Journal of Biomedical and Health Informatics, 2022
Zhiyang Lu, Jun Wang, Shihui Ying
exaly  

CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images

Biomedical Signal Processing and Control, 2023
Anurodh Kumar   +2 more
exaly  

Novel prediction model on OSCC histopathological images via deep transfer learning combined with Grad-CAM interpretation

Biomedical Signal Processing and Control, 2023
Heba M Afify   +2 more
exaly  

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