Results 31 to 40 of about 202,762 (305)

A hybrid deep learning approach for gland segmentation in prostate histopathological images [PDF]

open access: yes, 2021
Background In digital pathology, the morphology and architecture of prostate glands have been routinely adopted by pathologists to evaluate the presence of cancer tissue. The manual annotations are operator-dependent, error-prone and time-consuming.
Gambella, Alessandro   +13 more
core   +1 more source

Metamerism in multispectral imaging of histopathology specimens [PDF]

open access: yes2010 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
openaire   +2 more sources

Local isotropic phase symmetry measure for detection of beta cells and lymphocytes [PDF]

open access: yes, 2011
Diabetes can be associated with a reduction in functional β cell mass, which must be restored if the disease is to be cured or progress is to be arrested.
Khan, Michael   +9 more
core   +1 more source

An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks

open access: yesDiagnostics, 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   +2 more
doaj   +1 more source

Unsupervised Histopathology Image Synthesis

open access: yesCoRR, 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   +5 more
openaire   +2 more sources

Histopathological Images

open access: yes, 2022
Histopathological ...
Tarique Mahmood (11955896)
core   +1 more source

A Deep Learning Computer-Aided Diagnosis Approach for Breast Cancer

open access: yesBioengineering, 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   +4 more
doaj   +1 more source

Left atrial fibrosis volumes computed from histopathological images.

open access: yes, 2022
Left atrial fibrosis volumes computed from histopathological images.
Rebecca E. Thornhill (13020998)   +9 more
core   +1 more source

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

open access: yesDiagnostics, 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   +9 more
doaj   +1 more source

Distribution of various histopathological images in Bioimaging 2015 dataset.

open access: yes, 2022
Distribution of various histopathological images in Bioimaging 2015 dataset.
Hongping Hu (6623216)   +6 more
core   +1 more source

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