Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation. [PDF]
Sudhamsh GVS, Girisha S, Rashmi R.
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Multimodal Ensemble Fusion Deep Learning Using Histopathological Images and Clinical Data for Glioma Subtype Classification. [PDF]
Shirae S +4 more
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Letter to Editor "Predicting NSCLC surgical outcomes using deep learning on histopathological images: development and multi-omics validation of Sr-PPS model". [PDF]
Lu J, Xue C.
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images. [PDF]
Roy A +4 more
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Histopathologic Validation of Intracoronary Ultrasound Imaging
Journal of the American Society of Echocardiography, 1994The 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 ...
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MALDI imaging in histopathology
Pathology, 2014Introduction 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
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Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Data 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
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Histopathology Image Streaming
2012This 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 ...
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Efficient nucleus detector in histopathology images
Journal of Microscopy, 2012SummaryIn 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.
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Meniere's disease: histopathology, cytochemistry, and imaging
Annals of the New York Academy of Sciences, 2015Meniere'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 ...
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