Results 21 to 30 of about 2,410 (213)

Similar image search for histopathology: SMILY [PDF]

npj Digital Medicine, 2019
AbstractThe increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Although these datasets typically have associated metadata such as diagnosis or clinical notes, even carefully curated datasets rarely contain annotations of the location
Narayan Hegde, Jason D. Hipp, Yun Liu 0013, Michael Emmert-Buck, Emily Reif, Daniel Smilkov, Michael Terry, Carrie J. Cai, Mahul B. Amin, Craig H. Mermel, Philip Q. Nelson, Lily H. Peng, Gregory S. Corrado, Martin C. Stumpe   +13 more
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Metamerism in multispectral imaging of histopathology specimens [PDF]

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
A multispectral camera is capable of imaging a histologic slide at narrow bandwidths over the range of the visible spectrum. There is currently no clear consensus over the circumstances in which this added spectral data may improve computer-aided interpretation and diagnosis of imaged pathology specimens [1, 2, 3].
William J. Cukierski, David J. Foran
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Graph walks for classification of histopathological images [PDF]

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013
This paper reports a new structural approach for automated classification of histopathological tissue images. It has two main contributions: First, unlike previous structural approaches that use a single graph for representing a tissue image, it proposes to obtain a set of subgraphs through graph walking and use these subgraphs in representing the ...
Gulden Olgun, Cenk Sokmensuer, Cigdem Gunduz Demir   +2 more
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An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks

Diagnostics, 2023
Invasive Ductal Carcinoma Breast Cancer (IDC-BC) is the most common type of cancer and its asymptomatic nature has led to an increased mortality rate globally.
Eelandula Kumaraswamy, Sumit Kumar, Manoj Sharma   +2 more
doaj   +1 more source

Unsupervised Histopathology Image Synthesis

CoRR, 2017
Hematoxylin and Eosin stained histopathology image analysis is essential for the diagnosis and study of complicated diseases such as cancer. Existing state-of-the-art approaches demand extensive amount of supervised training data from trained pathologists.
Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz   +5 more
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A Deep Learning Computer-Aided Diagnosis Approach for Breast Cancer

Bioengineering, 2022
Breast cancer is a gigantic burden on humanity, causing the loss of enormous numbers of lives and amounts of money. It is the world’s leading type of cancer among women and a leading cause of mortality and morbidity.
Ahmed M. Zaalouk, Gamal A. Ebrahim, Hoda K. Mohamed, Hoda Mamdouh Hassan, Mohamed M. A. Zaalouk   +4 more
doaj   +1 more source

A Deep Learning Framework for the Prediction and Diagnosis of Ovarian Cancer in Pre- and Post-Menopausal Women

Diagnostics, 2023
Ovarian cancer ranks as the fifth leading cause of cancer-related mortality in women. Late-stage diagnosis (stages III and IV) is a major challenge due to the often vague and inconsistent initial symptoms.
Blessed Ziyambe, Abid Yahya, Tawanda Mushiri, Muhammad Usman Tariq, Qaisar Abbas, Muhammad Babar, Mubarak Albathan, Muhammad Asim, Ayyaz Hussain, Sohail Jabbar   +9 more
doaj   +1 more source

Histopathologic Image Processing: A Review

CoRR, 2019
Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the analysis is time and resource consuming.
Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich   +3 more
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Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images

IEEE Access, 2021
Lung cancer (LC) is one of the most serious cancers threatening human health. Histopathological examination is the gold standard for qualitative and clinical staging of lung tumors.
Min Li, Xiaojian Ma, Chen Chen, Yushuai Yuan, Shuailei Zhang, Ziwei Yan, Cheng Chen, Fangfang Chen, Yujie Bai, Panyun Zhou, Xiaoyi Lv, Mingrui Ma   +11 more
doaj   +1 more source

On image search in histopathology

Journal of Pathology Informatics
Pathology images of histopathology can be acquired from camera-mounted microscopes or whole slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across ...
H.R. Tizhoosh, Liron Pantanowitz
openaire   +4 more sources