Results 251 to 260 of about 256,649 (274)

WSSS-CRAM: precise segmentation of histopathological images via class region activation mapping. [PDF]

Front Microbiol
Pan N, Mi X, Li H, Ge X, Sui X, Jiang Y.
europepmc   +1 more source

A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images. [PDF]

Diagnostics (Basel)
Katar O, Yildirim O, Tan RS, Acharya UR.
europepmc   +1 more source

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Histopathologic Validation of Intracoronary Ultrasound Imaging

Journal of the American Society of Echocardiography, 1994
The purpose of this study was to validate intracoronary ultrasound imaging by correlation with histologic examination. In this in-vitro study of pressure-perfused human coronary arteries, 104 matching intracoronary ultrasound imaging images and histologic cross-sections from 12 hearts were compared to determine the diagnostic accuracy of 30 MHz ...
Peters, R. J., Kok, W. E., Havenith, M. G., Rijsterborgh, H., van der Wal, A. C., Visser, C. A.   +5 more
openaire   +3 more sources

MALDI imaging in histopathology

Pathology, 2014
Introduction MALDI imaging is a new technique that allows the investigation of the molecular signatures directly on tissue sections. The technology allows for the quantification of pep-tides/proteins and their spatial distributed on these tissues. The technology has tremendous potential for the discovery of new biomarkers in cancer. The primary aim of
Richard Naidoo, Michael Locketz, Thavi Govender   +2 more
openaire   +1 more source

Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Data limitation is one of the major challenges in applying deep learning to medical images. Data augmentation is a critical step to train robust and accurate deep learning models for medical images. In this research, we increase the size of a small dataset by using an Auxiliary Classifier Generative Adversarial Network (ACGAN) which generates realistic
Saba Heidari, Gheshlaghi, Chi, Nok Enoch Kan, Dong Hye, Ye   +2 more
openaire   +2 more sources

Histopathology Image Streaming

2012
This paper proposes an image streaming framework to stream histopathology image of a patient over a lossy network. Firstly, the large histopathology image is divided into a number of fixed size tiles to facilitate ROI-based streaming. Secondly, each tile is compressed using a variant of WebP so that the size of the compressed data is 20% to 30% less ...
Manoranjan Mohanty, Wei Tsang Ooi
openaire   +1 more source

Efficient nucleus detector in histopathology images

Journal of Microscopy, 2012
SummaryIn traditional cancer diagnosis, (histo)pathological images of biopsy samples are visually analysed by pathologists. However, this judgment is subjective and leads to variability among pathologists. Digital scanners may enable automated objective assessment, improved quality and reduced throughput time.
Vink, J.P., Leeuwen, van, M.B., Deurzen, van, C.H.M., Haan, de, G.   +3 more
openaire   +3 more sources

Meniere's disease: histopathology, cytochemistry, and imaging

Annals of the New York Academy of Sciences, 2015
Meniere's disease is a poorly understood, disabling syndrome causing spells of vertigo, hearing fluctuation, tinnitus, and aural fullness. In this paper, we present a review of the histopathology, cytochemistry, and imaging of Meniere's disease. Histopathology is significant for neuroepithelial damage with hair cell loss, basement membrane thickening ...
Gail, Ishiyama, Ivan A, Lopez, Ali R, Sepahdari, Akira, Ishiyama   +3 more
openaire   +2 more sources

Tumor Malignancy Detection Using Histopathology Imaging

Journal of Medical Imaging and Radiation Sciences, 2019
Image segmentation and classification in the biomedical imaging field has high worth in cancer diagnosis and grading. The proposed method classifies the images based on a combination of handcrafted features and shape features using bag of visual words (BoW).
Yashwant, Kurmi, Vijayshri, Chaurasia, Narayanan, Ganesh   +2 more
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Infrared spectroscopic imaging for histopathologic recognition

Nature Biotechnology, 2005
The process of histopathology, comprising tissue staining and morphological pattern recognition, has remained largely unchanged for over 140 years. Although it is integral to clinical and research activities, histopathologic recognition remains a time-consuming, subjective process to which only limited statistical confidence can be assigned because of ...
Daniel C, Fernandez, Rohit, Bhargava, Stephen M, Hewitt, Ira W, Levin   +3 more
openaire   +2 more sources