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
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
Pathology Trainees’ Experience and Attitudes on Use of Digital Whole Slide Images
Sign Up to like & getrecommendations! Published in 2020 at "Academic Pathology"
DOI: 10.1177/2374289520951922
Abstract: Digital whole slide images are Food and Drug Administration approved for clinical diagnostic use in pathology; however, integration is nascent. Trainees from 9 pathology training programs completed an online survey to ascertain attitudes toward and… read more here.
Keywords: medical school; slide images; slide; digital whole ... See more keywords
Digital whole-community phenotyping: tracking morphological and physiological responses of plant communities to environmental changes in the field
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1141554
Abstract: Plant traits are informative for ecosystem functions and processes and help to derive general rules and predictions about responses to environmental gradients, global change and perturbations. Ecological field studies often use ‘low-throughput’ methods to assess… read more here.
Keywords: ecology; plant communities; community; plant ... See more keywords
Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images
Sign Up to like & getrecommendations! Published in 2022 at "Cancers"
DOI: 10.3390/cancers14071740
Abstract: Simple Summary Challenges persist in diagnosing pulmonary neuroendocrine tumors. Our case study shows that deep learning combined with convolutional neural networks has the potential to assist in the diagnosis of pulmonary neuroendocrine tumors from digital… read more here.
Keywords: tumors digital; lung; neuroendocrine tumors; deep learning ... See more keywords