Evaluating the role of Z‐stack to improve the morphologic evaluation of urine cytology whole slide images for high‐grade urothelial carcinoma: Results and review of a pilot study
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Cytopathology"
DOI: 10.1002/cncy.22595
Abstract: Whole slide imaging (WSI) adoption has been slower in cytopathology due, in part, to challenges in multifocal plane scanning on 3‐dimensional cell clusters. ThinPrep and other liquid‐based preparations may alleviate the issue by reducing clusters… read more here.
Keywords: role stack; evaluating role; whole slide; cytology ... See more keywords
Inter‐ and intraobserver agreement in whole‐slide digital ThinPrep samples of low‐grade squamous lesions of the cervix uteri with known high‐risk HPV status: A multicentric international study
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Cytopathology"
DOI: 10.1002/cncy.22624
Abstract: High‐risk human papilloma virus (HR HPV) testing and liquid‐based cytology are used for primary cervical screening. Digital cytology, based on whole‐slide scanned samples, is a promising technique for teaching and diagnostic purposes. The aim of… read more here.
Keywords: high risk; whole slide; cytology; grade squamous ... See more keywords
A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial statistics and multidimensional DenseNet.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13964
Abstract: PURPOSE Prostate cancer (PCa) is a major health concern in aging males, and proper management of the disease depends on accurately interpreting pathology specimens. However, reading prostatectomy histopathology slides, which is basically for staging, is… read more here.
Keywords: prostate; system; diagnosis; histopathology ... See more keywords
Interactive thyroid whole slide image diagnostic system using deep representation
Sign Up to like & getrecommendations! Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2020.105630
Abstract: BACKGROUND AND OBJECTIVES The vast size of the histopathology whole slide image poses formidable challenges to its automatic diagnosis. With the goal of computer-aided diagnosis and the insights that suspicious regions are generally easy to… read more here.
Keywords: thyroid whole; diagnostic system; system; slide image ... See more keywords
A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.103350
Abstract: The ovary is a complex endocrine organ that shows significant structural and functional changes in the female reproductive system over recurrent cycles. There are different types of follicles in the ovarian tissue. The reproductive potential… read more here.
Keywords: images based; method; based convolutional; slide histological ... See more keywords
Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm.
Sign Up to like & getrecommendations! Published in 2019 at "Forensic science international"
DOI: 10.1016/j.forsciint.2019.109922
Abstract: Diatom examinations have been widely used to perform drowning diagnosis in forensic practice. However, current methods for recognizing diatoms, which use light or electron microscopy, are time-consuming and laborious and often result in false positive… read more here.
Keywords: slide; digital whole; convolutional neural; neural network ... See more keywords
Pleomorphic adenoma: Detection of PLAG1 rearrangement-positive tumor components using whole-slide fluorescence in situ hybridization.
Sign Up to like & getrecommendations! Published in 2021 at "Human pathology"
DOI: 10.1016/j.humpath.2021.11.010
Abstract: AIM Pleomorphic adenoma (PA) consists of heterogeneous histological architecture mixed with epithelioid and mesenchymal forms. Various types of epithelial or myoepithelial malignancies arise from PA, but sarcomas are extremely rare. A HUMARA clonality assay has… read more here.
Keywords: tumor components; whole slide; plag1 rearrangement; cell ... See more keywords
Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images
Sign Up to like & getrecommendations! Published in 2017 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2017.01.004
Abstract: Digital whole slide imaging is an increasingly common medium in pathology, with application to education, telemedicine, and rendering second opinions. It has also made it possible to use eye tracking devices to explore the dynamic… read more here.
Keywords: digital whole; slide images; diagnostic accuracy; whole slide ... See more keywords
Deep learning for bone marrow cell detection and classification on whole-slide images.
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102270
Abstract: Bone marrow (BM) examination is an essential step in both diagnosing and managing numerous hematologic disorders. BM nucleated differential count (NDC) analysis, as part of BM examination, holds the most fundamental and crucial information. However,… read more here.
Keywords: slide images; analysis; deep learning; bone marrow ... See more keywords
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.006
Abstract: Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death. Biopsy of gastric mucosa is a standard procedure in gastric cancer screening test. However, manual pathological… read more here.
Keywords: whole slide; cancer screening; task; cancer ... See more keywords
Autofocus of whole slide imaging based on convolution and recurrent neural networks.
Sign Up to like & getrecommendations! Published in 2020 at "Ultramicroscopy"
DOI: 10.1016/j.ultramic.2020.113146
Abstract: During the process of whole slide imaging, it is necessary to focus thousands of fields of view to obtain a high-quality image. To make the focusing procedure efficient and effective, we propose a novel autofocus… read more here.
Keywords: focus; slide imaging; convolution; recurrent neural ... See more keywords