Results 141 to 150 of about 173,766 (376)

Whole Slide Image Classification of Salivary Gland Tumours [PDF]

open access: yesarXiv
This work shows promising results using multiple instance learning on salivary gland tumours in classifying cancers on whole slide images. Utilising CTransPath as a patch-level feature extractor and CLAM as a feature aggregator, an F1 score of over 0.88 and AUROC of 0.92 are obtained for detecting cancer in whole slide images.
arxiv  

The Influence of oral environment on diet choices in goats: a focus on saliva protein composition [PDF]

open access: yes, 2012
There is ample evidence that ruminants are capable of making choices between different foods that provide a more balanced diet that would be obtained by eating at random.
Baptista, ES   +3 more
core  

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation [PDF]

open access: yesarXiv, 2016
The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain reliable morphological statistics for quantitative diagnosis.
arxiv  

Role of Fine Needle Aspiration Cytology in Salivary Gland Pathology and its Histopathological Correlation: A Two Year Prospective Study in Western India. [PDF]

open access: yes, 2012
Background and objectives: Salivary gland lesions account for 2-6.5% of all the neoplasms of the head and neck. Fine needle aspiration cytology (FNAC) is being increasingly used in the diagnosis of salivary gland lesions.
Agravat, AH   +3 more
core   +1 more source

Radiologic Imaging Features Of Major Salivary Glands: A Review

open access: yesPakistan Journal of Medicine and Dentistry
The predominant salivary glands are parotid, submandibular, and sublingual glands. Innumerous small salivary glands are present in the buccal cavity, pharynx, and the larynx, which are not identified on usual radiologic studies.
Naila Younus   +3 more
doaj  

Gland Segmentation in Histopathology Images Using Random Forest Guided Boundary Construction [PDF]

open access: yesarXiv, 2017
Grading of cancer is important to know the extent of its spread. Prior to grading, segmentation of glandular structures is important. Manual segmentation is a time consuming process and is subject to observer bias. Hence, an automated process is required to segment the gland structures.
arxiv  

Pleomorphic adenoma rehabilitative treatment in growing up patient: a 20-years follow-up [PDF]

open access: yes, 2016
OBJECTIVE: Although tumors of minor salivary glands are rare, the pleomorphic adenoma is the most common pathology among the benign neoplasm and can be found with high prevalence in the junction between hard palate and soft palate.
BRAUNER, EDOARDO   +6 more
core  

Chronic Sclerosing Sialadenitis in the Minor Salivary Glands: A Case Report

open access: yesMajallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, 2012
Chronic sclerosing sialadenitis(also known as Kuttner tumor) is a chronic inflammatory condition of the salivary glands and one of the salivary gland enlargment that was first described by Kuttner in 1896.
N Gholami, N Boostani, O mahdavi
doaj  

Calculations of the cell survival rate after irradiating with minibeams of protons and $^{12}$C [PDF]

open access: yesarXiv
The propagation of minibeams of protons and $^{12}$C in a water phantom was modelled with Geant4 v10.3, and the survival probabilities of human salivary gland cells representing healthy and tumour tissues of normal radiosensitivity were calculated with the modified microdosimetric kinetic model.
arxiv  

Histological images segmentation of mucous glands [PDF]

open access: yesarXiv, 2018
Mucous glands lesions analysis and assessing of malignant potential of colon polyps are very important tasks of surgical pathology. However, differential diagnosis of colon polyps often seems impossible by classical methods and it is necessary to involve computer methods capable of assessing minimal differences to extend the capabilities of the ...
arxiv  

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