Results 31 to 40 of about 261,899 (291)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review

open access: yesIEEE Access, 2022
Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis of different types of cancer. The preparation and digitization of histological tissues leads to the introduction of artifacts and variations that need to be ...
Neel Kanwal   +4 more
doaj   +1 more source

Gland segmentation in prostate histopathological images [PDF]

open access: yesJournal of Medical Imaging, 2017
Glandular structural features are important for the tumor pathologist in the assessment of cancer malignancy of prostate tissue slides. The varying shapes and sizes of glands combined with the tedious manual observation task can result in inaccurate assessment. There are also discrepancies and low-level agreement among pathologists, especially in cases
Singh, Malay   +5 more
openaire   +3 more sources

DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification

open access: yes, 2015
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure.
Monga, Vishal   +4 more
core   +1 more source

Impact of data preprocessing and augmentation on tumor core segmentation using convolutional neural networks

open access: yesКомпьютерная оптика
The relevance of detecting and treating breast cancer in the early stages remains high. In 2020, more than 65,000 new cases of breast cancer were registered, with an average annual growth rate being 2%.
N.S. Buravsky, E.Y. Kostyuchenko
doaj   +1 more source

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images

open access: yes, 2017
Histopathological characterization of colorectal polyps is an important principle for determining the risk of colorectal cancer and future rates of surveillance for patients. This characterization is time-intensive, requires years of specialized training,
Hassanpour, Saeed   +7 more
core   +2 more sources

A flipped classroom approach to teaching oral pathology using virtual microscopy - the Glasgow experience [PDF]

open access: yes, 2017
This paper describes a student-centred, integrated teaching model in which oral pathology and oral medicine staff members jointly deliver tutorials in a combined online and face-to-face format.
Bagg, Jeremy, Makki, Zayneb
core   +1 more source

Meningioangiomatosis: Clinical, Imaging, and Histopathologic Characteristics

open access: yesJournal of Clinical Imaging Science, 2020
Meningioangiomatosis is a rare benign lesion involving the central nervous system. Radiographic appearance can be highly variable which makes pre-operative diagnosis difficult. In this report, we describe meningioangiomatosis in a previously healthy 17-year-old woman who presented with seizures and continued headache and dizziness.
Makary, Mina S.   +3 more
openaire   +2 more sources

Fast Segmentation of Metastatic Foci in H&E Whole-Slide Images for Breast Cancer Diagnosis

open access: yesDiagnostics, 2022
Breast cancer is the leading cause of death for women globally. In clinical practice, pathologists visually scan over enormous amounts of gigapixel microscopic tissue slide images, which is a tedious and challenging task.
Muhammad-Adil Khalil   +4 more
doaj   +1 more source

Surgical management of extrafollicular variant of adenomatoid odontogenic tumor in the maxillary posterior region [PDF]

open access: yes, 2019
Background. Adenomatoid odontogenic tumor (AOT) is a relatively uncommon benign neoplasm of odontogenic epithelial origin, accounting for less than 5% of odontogenic tumors. Case Report. The reported case describes morphological characteristics, clinical
Cristalli, Maria Paola   +5 more
core   +1 more source

On image search in histopathology

open access: yesJournal 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

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