Results 21 to 30 of about 1,714,596 (353)

Brain histology

open access: yesPractical Neurology, 2008
In this article we summarise nervous system histology in health and disease and acquaint the reader with developments in the staining techniques that are in current use, particularly immunostains. Although clinicians do not need to know the details of stain appearances, some familiarity with these aspects of neuropathology is invaluable in interpreting
Jeans, A, Esiri, M
openaire   +3 more sources

The effect of oral administration of salbutamol on the glycoconjugate composition in goblet cells of the tracheal epithelium in rabbits

open access: yesVeterinární Medicína, 2001
We verified the influence of salbutamol on changes of glycoconjugates contained in tracheal goblet cells in rabbits by the oral administration of Ventolin™ syrup in the dose of 5 ml.
L. Vajner   +3 more
doaj   +1 more source

Classification of breast cancer histology images using Convolutional Neural Networks

open access: yesPLoS ONE, 2017
Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue with hematoxylin and eosin stained images is non-trivial and specialists often disagree on the final diagnosis.
Teresa Araújo   +7 more
semanticscholar   +1 more source

Predicting cancer outcomes from histology and genomics using convolutional networks

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2017
Significance Predicting the expected outcome of patients diagnosed with cancer is a critical step in treatment. Advances in genomic and imaging technologies provide physicians with vast amounts of data, yet prognostication remains largely subjective ...
Pooya Mobadersany   +7 more
semanticscholar   +1 more source

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2019
Digital histology images are amenable to the application of convolutional neural networks (CNNs) for analysis due to the sheer size of pixel data present in them. CNNs are generally used for representation learning from small image patches (e.g.
M. Shaban   +6 more
semanticscholar   +1 more source

Modified task-based learning program promotes problem-solving capacity among Chinese medical postgraduates: a mixed quantitative survey

open access: yesBMC Medical Education, 2017
Background Despite great advances, China’s postgraduate education faces many problems, for example traditional lecture-based learning (LBL) method provides fewer oppotunities to apply knowledge in a working situation.
Yanping Tian   +10 more
doaj   +1 more source

Effect of Intraoperative Electrical Stimulation on Recovery after Rat Sciatic Nerve Isograft Repair

open access: yesNeurotrauma Reports, 2020
Peripheral nerve injuries, associated with significant morbidity, can benefit from electrical stimulation (ES), as demonstrated in animal studies through improved axonal growth.
Galina P. Koh   +3 more
doaj   +1 more source

A Morphological and Histological Investigation of the Sinus Interdigitalis in Konya Merino Sheep

open access: yesTurkish Journal of Agriculture: Food Science and Technology, 2021
In the study, it was aimed to reveal the morphological, morphometric and histological characteristics of sinus interdigitalis found in the fore and hind feet of Konya merino sheep.
Zekeriya Özüdoğru   +2 more
doaj   +1 more source

Structured crowdsourcing enables convolutional segmentation of histology images

open access: yesBioinform., 2019
Motivation While deep-learning algorithms have demonstrated outstanding performance in semantic image segmentation tasks, large annotation datasets are needed to create accurate models.
M. Amgad   +30 more
semanticscholar   +1 more source

Comprehensive characterisation of pancreatic ductal adenocarcinoma with microsatellite instability: histology, molecular pathology and clinical implications

open access: yesGut, 2020
Objective Recently, tumours with microsatellite instability (MSI)/defective DNA mismatch repair (dMMR) have gained considerable interest due to the success of immunotherapy in this molecular setting.
C. Luchini   +14 more
semanticscholar   +1 more source

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