Results 71 to 80 of about 625,029 (213)

FHIST: A Benchmark for Few-shot Classification of Histological Images [PDF]

open access: yesarXiv, 2022
Few-shot learning has recently attracted wide interest in image classification, but almost all the current public benchmarks are focused on natural images. The few-shot paradigm is highly relevant in medical-imaging applications due to the scarcity of labeled data, as annotations are expensive and require specialized expertise.
arxiv  

Histological techniques for marine bivalve molluscs: update [PDF]

open access: yes, 2006
This chapter describes the procedures for determining the reproductive stage of oysters, mytilid mussels, and dreissenid mussels collected for NOAA’s National Status and Trends Mussel Watch Project.
Ashton-Alcox, K.A.   +2 more
core  

Laser treatment of 13 benign oral vascular lesions by three different surgical techniques [PDF]

open access: yes, 2013
Objectives: Benign Oral Vascular Lesions (BOVLs) are a group of vascular diseases characterized by congenital, inflammatory or neoplastic vascular dilations clinically evidenced as more or less wide masses of commonly dark bluish color.
DEL VECCHIO, Alessandro   +6 more
core   +1 more source

StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification [PDF]

open access: yesarXiv, 2020
The classification of Antibody Mediated Rejection (AMR) in kidney transplant remains challenging even for experienced nephropathologists; this is partly because histological tissue stain analysis is often characterized by low inter-observer agreement and poor reproducibility.
arxiv  

DEPAS: De-novo Pathology Semantic Masks using a Generative Model [PDF]

open access: yesarXiv, 2023
The integration of artificial intelligence into digital pathology has the potential to automate and improve various tasks, such as image analysis and diagnostic decision-making. Yet, the inherent variability of tissues, together with the need for image labeling, lead to biased datasets that limit the generalizability of algorithms trained on them.
arxiv  

The determination of specificity, sensitivity and accuracy of core needle biopsy in the diagnosis of parotid and submandibular salivary glands tumors [PDF]

open access: yesVojnosanitetski Pregled, 2019
Background/Aim. The diagnosis of tumors of salivary glands relies heavily on radiological examination and biopsy of pathological tissue. The aim of this study was to investigate the sensitivity, specificity and accuracy of core needle biopsy in diagnosis
Oroz Aleksandar   +3 more
doaj   +1 more source

An in vitro comparison between two methods of electrical resistance measurement for occlusal caries detection [PDF]

open access: yes, 2006
Because of different measurement techniques and the easier design of the CRM prototype, this in vitro study aimed to compare the diagnostic performance and reproducibility of two electrical methods (Electronic Caries Monitor III, ECM and Cariometer 800 ...
Bamzahim M   +21 more
core   +1 more source

Multi stain graph fusion for multimodal integration in pathology [PDF]

open access: yesarXiv, 2022
In pathology, tissue samples are assessed using multiple staining techniques to enhance contrast in unique histologic features. In this paper, we introduce a multimodal CNN-GNN based graph fusion approach that leverages complementary information from multiple non-registered histopathology images to predict pathologic scores.
arxiv  

Association of pulmonary histopathological findings with toxicological findings in forensic autopsies of illicit drug users [PDF]

open access: yesVojnosanitetski Pregled, 2011
Background/Aim. Drug abuse remains a significant social problem in many countries. The aim of the study was to estimate association between pulmonary histopathological changes and results of toxicological analyses in forensic autopsies of illicit drug
Todorović Miloš S.   +4 more
doaj   +1 more source

Automated segmentation and morphological characterization of placental histology images based on a single labeled image [PDF]

open access: yesarXiv, 2022
In this study, a novel method of data augmentation has been presented for the segmentation of placental histological images when the labeled data are scarce. This method generates new realizations of the placenta intervillous morphology while maintaining the general textures and orientations.
arxiv  

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