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https://www.readbyqxmd.com/read/27818565/multi-scale-learning-based-segmentation-of-glands-in-digital-colonrectal-pathology-images
#1
Yi Gao, William Liu, Shipra Arjun, Liangjia Zhu, Vadim Ratner, Tahsin Kurc, Joel Saltz, Allen Tannenbaum
Digital histopathological images provide detailed spatial information of the tissue at micrometer resolution. Among the available contents in the pathology images, meso-scale information, such as the gland morphology, texture, and distribution, are useful diagnostic features. In this work, focusing on the colon-rectal cancer tissue samples, we propose a multi-scale learning based segmentation scheme for the glands in the colon-rectal digital pathology slides. The algorithm learns the gland and non-gland textures from a set of training images in various scales through a sparse dictionary representation...
February 2016: Proceedings of SPIE
https://www.readbyqxmd.com/read/27803941/evaluating-stability-of-histomorphometric-features-across-scanner-and-staining-variations-prostate-cancer-diagnosis-from-whole-slide-images
#2
Patrick Leo, George Lee, Natalie N C Shih, Robin Elliott, Michael D Feldman, Anant Madabhushi
Quantitative histomorphometry (QH) is the process of computerized feature extraction from digitized tissue slide images to predict disease presence, behavior, and outcome. Feature stability between sites may be compromised by laboratory-specific variables including dye batch, slice thickness, and the whole slide scanner used. We present two new measures, preparation-induced instability score and latent instability score, to quantify feature instability across and within datasets. In a use case involving prostate cancer, we examined QH features which may detect cancer on whole slide images...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27747147/image-montaging-for-creating-a-virtual-pathology-slide-an-innovative-and-economical-tool-to-obtain-a-whole-slide-image
#3
Spoorthi Ravi Banavar, Prashanthi Chippagiri, Rohit Pandurangappa, Saileela Annavajjula, Premalatha Bidadi Rajashekaraiah
Background. Microscopes are omnipresent throughout the field of biological research. With microscopes one can see in detail what is going on at the cellular level in tissues. Though it is a ubiquitous tool, the limitation is that with high magnification there is a small field of view. It is often advantageous to see an entire sample at high magnification. Over the years technological advancements in optics have helped to provide solutions to this limitation of microscopes by creating the so-called dedicated "slide scanners" which can provide a "whole slide digital image...
2016: Analytical Cellular Pathology (Amsterdam)
https://www.readbyqxmd.com/read/27739040/image-analysis-of-the-tumor-microenvironment
#4
Mark C Lloyd, Joseph O Johnson, Agnieszka Kasprzak, Marilyn M Bui
In the field of pathology it is clear that molecular genomics and digital imaging represent two promising future directions, and both are as relevant to the tumor microenvironment as they are to the tumor itself (Beck AH et al. Sci Transl Med 3(108):108ra113-08ra113, 2011). Digital imaging, or whole slide imaging (WSI), of glass histology slides facilitates a number of value-added competencies which were not previously possible with the traditional analog review of these slides under a microscope by a pathologist...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27729430/continuous-measurement-of-breast-tumour-hormone-receptor-expression-a-comparison-of-two-computational-pathology-platforms
#5
Thomas P Ahern, Andrew H Beck, Bernard A Rosner, Ben Glass, Gretchen Frieling, Laura C Collins, Rulla M Tamimi
AIMS: Computational pathology platforms incorporate digital microscopy with sophisticated image analysis to permit rapid, continuous measurement of protein expression. We compared two computational pathology platforms on their measurement of breast tumour oestrogen receptor (ER) and progesterone receptor (PR) expression. METHODS: Breast tumour microarrays from the Nurses' Health Study were stained for ER (n=592) and PR (n=187). One expert pathologist scored cases as positive if ≥1% of tumour nuclei exhibited stain...
October 11, 2016: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/27694950/multi-pass-adaptive-voting-for-nuclei-detection-in-histopathological-images
#6
Cheng Lu, Hongming Xu, Jun Xu, Hannah Gilmore, Mrinal Mandal, Anant Madabhushi
Nuclei detection is often a critical initial step in the development of computer aided diagnosis and prognosis schemes in the context of digital pathology images. While over the last few years, a number of nuclei detection methods have been proposed, most of these approaches make idealistic assumptions about the staining quality of the tissue. In this paper, we present a new Multi-Pass Adaptive Voting (MPAV) for nuclei detection which is specifically geared towards images with poor quality staining and noise on account of tissue preparation artifacts...
October 3, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27688930/a-novel-leadership-fellowship-in-digital-pathology
#7
Bethany Jill Williams, Darren Treanor
No abstract text is available yet for this article.
2016: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/27688927/a-novel-method-for-morphological-pleomorphism-and-heterogeneity-quantitative-measurement-named-cell-feature-level-co-occurrence-matrix
#8
Akira Saito, Yasushi Numata, Takuya Hamada, Tomoyoshi Horisawa, Eric Cosatto, Hans-Peter Graf, Masahiko Kuroda, Yoichiro Yamamoto
BACKGROUND: Recent developments in molecular pathology and genetic/epigenetic analysis of cancer tissue have resulted in a marked increase in objective and measurable data. In comparison, the traditional morphological analysis approach to pathology diagnosis, which can connect these molecular data and clinical diagnosis, is still mostly subjective. Even though the advent and popularization of digital pathology has provided a boost to computer-aided diagnosis, some important pathological concepts still remain largely non-quantitative and their associated data measurements depend on the pathologist's sense and experience...
2016: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/27650601/digital-pathology-and-its-role-in-cytology-education
#9
D C Wilbur
Digital methods have the potential to greatly expand content availability, accessibility, and quality for pathology education. Use of this technology allows for anywhere/anytime interactions and delivery in a variety of methods to accommodate any learning style. This review introduces basic digital technology, its uses for education, and prospects for the future.
October 2016: Cytopathology: Official Journal of the British Society for Clinical Cytology
https://www.readbyqxmd.com/read/27626947/towards-translation-of-discrete-frequency-infrared-spectroscopic-imaging-for-digital-histopathology-of-clinical-biopsy-samples
#10
Saumya Tiwari, Jai Raman, Vijaya Reddy, Andrew Ghetler, Richard P Tella, Yang Han, Christopher R Moon, Charles D Hoke, Rohit Bhargava
Fourier transform infrared (FT-IR) spectroscopic imaging has been widely tested as a tool for stainless digital histology of biomedical specimens, including for the identification of infiltration and fibrosis in endomyocardial biopsy samples to assess transplant rejection. A major barrier in clinical translation has been the slow speed of imaging. To address this need, we tested and report here the viability of using high speed discrete frequency infrared (DFIR) imaging to obtain stain-free biochemical imaging in cardiovascular samples collected from patients...
October 18, 2016: Analytical Chemistry
https://www.readbyqxmd.com/read/27607349/colour-in-digital-pathology-a-review
#11
Emily L Clarke, Darren Treanor
Colour is central and integral to the practice of pathology; pathologists use coloured histochemical and immunohistochemical stains to identify structures and reach diagnoses. Given the magnitude of these diagnoses to patient management and outcome, it is imperative that pathologists are able to make accurate and reliable assertions. Over recent years, new technology has emerged to enable pathologists to carry out their diagnostic work digitally, rather than with the analogue optical microscope. This article is protected by copyright...
September 8, 2016: Histopathology
https://www.readbyqxmd.com/read/27601824/-slide-less-pathology-fairy-tale-or-reality
#12
REVIEW
M Indu, R Rathy, M P Binu
Pathology practice is significantly advanced in various frontiers. Therefore, "slide less digital" pathology will not be a mere imagination in near future. Digitalization of histopathological slides (whole slide imaging [WSI]) is possible with the help of whole slide scanner. The WSI has a positive impact not only in routine practice but also in research field, medical education and bioindustry. Even if digital pathology has definitive advantages, its widespread use is not yet possible. As it is an upcoming technology in our field, this article is aimed to discussessential aspects of WSI...
May 2016: Journal of Oral and Maxillofacial Pathology: JOMFP
https://www.readbyqxmd.com/read/27601805/current-status-and-future-trends-in-telepathology-and-digital-pathology
#13
Trupti Dinesh Chordia, Ashok Vikey, Anuraag B Choudhary, Yashpal Samdariya, Dipti Samdariya Chordia
OBJECTIVE: The purpose of this study was to assess the current status and future trends in telepathology (TP) and digital pathology (DP) in central India. MATERIALS AND METHODS: A self-constructed questionnaire including 12 questions was designed with five specialists, to improve the design ambiguity. The study was conducted through postal and online survey consisting of 12 questions and sent to 300 histopathologists. RESULTS: A total of 247 histopathologists answered the survey...
May 2016: Journal of Oral and Maxillofacial Pathology: JOMFP
https://www.readbyqxmd.com/read/27563491/improving-the-creation-and-reporting-of-structured-findings-during-digital-pathology-review
#14
Ida Cervin, Jesper Molin, Claes Lundström
BACKGROUND: Today, pathology reporting consists of many separate tasks, carried out by multiple people. Common tasks include dictation during case review, transcription, verification of the transcription, report distribution, and report the key findings to follow-up registries. Introduction of digital workstations makes it possible to remove some of these tasks and simplify others. This study describes the work presented at the Nordic Symposium on Digital Pathology 2015, in Linköping, Sweden...
2016: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/27563488/deep-learning-for-digital-pathology-image-analysis-a-comprehensive-tutorial-with-selected-use-cases
#15
Andrew Janowczyk, Anant Madabhushi
BACKGROUND: Deep learning (DL) is a representation learning approach ideally suited for image analysis challenges in digital pathology (DP). The variety of image analysis tasks in the context of DP includes detection and counting (e.g., mitotic events), segmentation (e.g., nuclei), and tissue classification (e.g., cancerous vs. non-cancerous). Unfortunately, issues with slide preparation, variations in staining and scanning across sites, and vendor platforms, as well as biological variance, such as the presentation of different grades of disease, make these image analysis tasks particularly challenging...
2016: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/27471996/molecular-digital-pathology-progress-and-potential-of-exchanging-molecular-data
#16
Somak Roy, John D Pfeifer, William A LaFramboise, Liron Pantanowitz
Many of the demands to perform next generation sequencing (NGS) in the clinical laboratory can be resolved using the principles of telepathology. Molecular telepathology can allow facilities to outsource all or a portion of their NGS operation such as cloud computing, bioinformatics pipelines, variant data management, and knowledge curation. Clinical pathology laboratories can electronically share diverse types of molecular data with reference laboratories, technology service providers, and/or regulatory agencies...
September 2016: Expert Review of Molecular Diagnostics
https://www.readbyqxmd.com/read/27423409/image-analysis-and-machine-learning-in-digital-pathology-challenges-and-opportunities
#17
EDITORIAL
Anant Madabhushi, George Lee
With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and represented and archived digitally. While digital pathology has substantial implications for telepathology, second opinions, and education there are also huge research opportunities in image computing with this new source of "big data". It is well known that there is fundamental prognostic data embedded in pathology images. The ability to mine "sub-visual" image features from digital pathology slide images, features that may not be visually discernible by a pathologist, offers the opportunity for better quantitative modeling of disease appearance and hence possibly improved prediction of disease aggressiveness and patient outcome...
October 2016: Medical Image Analysis
https://www.readbyqxmd.com/read/27420575/emerging-themes-in-image-informatics-and-molecular-analysis-for-digital-pathology
#18
Rohit Bhargava, Anant Madabhushi
Pathology is essential for research in disease and development, as well as for clinical decision making. For more than 100 years, pathology practice has involved analyzing images of stained, thin tissue sections by a trained human using an optical microscope. Technological advances are now driving major changes in this paradigm toward digital pathology (DP). The digital transformation of pathology goes beyond recording, archiving, and retrieving images, providing new computational tools to inform better decision making for precision medicine...
July 11, 2016: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/27386626/automated-region-based-prostate-cancer-cell-nuclei-localization-part-of-a-prognostic-modality-tool-for-prostate-cancer-patients
#19
Nilgoon Zarei, Amir Bakhtiari, Jagoda Korbelik, Anita Carraro, Mira Keyes, Martial Guillaud, Calum MacAulay
BACKGROUND: Prostate cancer is a disease of disrupted cell genomes. Quantification of DNA from cytology preparations can yield prognostic information about tissue biological behaviors; however, this process is very labor-intensive to perform. Quantitative digital pathology can measure the structural chromatin changes associated with neoplasia and can enable prognostic and predictive assays based on imaging of sectioned prostate tissue. OBJECTIVE: To design an automated system to recognize and localize cell nuclei in images of stained sectioned tissue (first step in enabling quantitative digital pathology)...
April 2016: Analytical and Quantitative Cytopathology and Histopathology
https://www.readbyqxmd.com/read/27375315/hierarchical-nucleus-segmentation-in-digital-pathology-images
#20
Yi Gao, Vadim Ratner, Liangjia Zhu, Tammy Diprima, Tahsin Kurc, Allen Tannenbaum, Joel Saltz
Extracting nuclei is one of the most actively studied topic in the digital pathology researches. Most of the studies directly search the nuclei (or seeds for the nuclei) from the finest resolution available. While the richest information has been utilized by such approaches, it is sometimes difficult to address the heterogeneity of nuclei in different tissues. In this work, we propose a hierarchical approach which starts from the lower resolution level and adaptively adjusts the parameters while progressing into finer and finer resolution...
February 2016: Proceedings of SPIE
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