Zobrazeno 1 - 10
of 133
pro vyhledávání: '"William V, Stoecker"'
Autor:
Anand K. Nambisan, Norsang Lama, Thanh Phan, Samantha Swinfard, Binita Lama, Colin Smith, Ahmad Rajeh, Gehana Patel, Jason Hagerty, William V. Stoecker, Ronald J. Stanley
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200126- (2022)
Deep learning (DL) applied to whole dermoscopic images has shown unprecedented accuracy in differentiating images of melanoma from benign lesions. We hypothesize that accuracy in whole-image deep learning suffers because whole lesion analysis lacks a
Externí odkaz:
https://doaj.org/article/5cceaeef1bdc47e4bd396ae767a1739f
Autor:
Sudhir Sornapudi, Ravitej Addanki, R Joe Stanley, William V Stoecker, Rodney Long, Rosemary Zuna, Shellaine R Frazier, Sameer Antani
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 26-26 (2021)
Background: Cervical intraepithelial neoplasia (CIN) is regarded as a potential precancerous state of the uterine cervix. Timely and appropriate early treatment of CIN can help reduce cervical cancer mortality. Accurate estimation of CIN grade correl
Externí odkaz:
https://doaj.org/article/4bd027e031a4436dadae671ffb993d20
Autor:
Anand K. Nambisan, Akanksha Maurya, Norsang Lama, Thanh Phan, Gehana Patel, Keith Miller, Binita Lama, Jason Hagerty, Ronald Stanley, William V. Stoecker
Publikováno v:
Cancers
Volume 15
Issue 4
Pages: 1259
Volume 15
Issue 4
Pages: 1259
Deep learning has achieved significant success in malignant melanoma diagnosis. These diagnostic models are undergoing a transition into clinical use. However, with melanoma diagnostic accuracy in the range of ninety percent, a significant minority o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27550534727a1714a65b091e83f1dede
Publikováno v:
Mo Med
Missourians are dying of fentanyl poisoning at an unprecedented rate. We identified growth areas in Missouri for fatal fentanyl encounters in rural and western counties. Though the deaths occur for a multitude of reasons, a growing trend adds to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f6a3683b6874a35a2d7396b18e474ef5
https://pubmed.ncbi.nlm.nih.gov/36588654
https://pubmed.ncbi.nlm.nih.gov/36588654
Autor:
Sudhir Sornapudi, R Joe Stanley, William V Stoecker, Rodney Long, Zhiyun Xue, Rosemary Zuna, Shellaine R Frazier, Sameer Antani
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 40-40 (2020)
Background: Cervical cancer is one of the deadliest cancers affecting women globally. Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of cervical biopsy slides is subject to interobserver variability. Automated
Externí odkaz:
https://doaj.org/article/c35d7c72f67a47c898bbb8a912bb132b
Autor:
Sudhir Sornapudi, Jason Hagerty, R Joe Stanley, William V Stoecker, Rodney Long, Sameer Antani, George Thoma, Rosemary Zuna, Shellaine R Frazier
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 10-10 (2020)
Background: Automated pathology techniques for detecting cervical cancer at the premalignant stage have advantages for women in areas with limited medical resources. Methods: This article presents EpithNet, a deep learning approach for the critical s
Externí odkaz:
https://doaj.org/article/ccc54531b85847f9b72da2f329c298b7
Autor:
William V. Stoecker, Jason R. Hagerty, Jason Boes, Mousumi Bose, Paul Ki-souk Nam, Chang-Soo Kim
Publikováno v:
IEEE Sens J
Optical oxygen sensors based on photoluminescence quenching have gained increasing attention as a superior method for continuous monitoring of oxygen in a growing number of applications. A simple and low-cost fabrication technique was developed to pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbd7bd1f1c42cba9029f13ddc8a5a06
https://doi.org/10.1109/jsen.2021.3105655
https://doi.org/10.1109/jsen.2021.3105655
Autor:
Zachary Foulks, Eileen A. Hebets, Charles Kristensen, Jennifer Parks, William V. Stoecker, Honglan Shi
Publikováno v:
Analytical and Bioanalytical Chemistry. 413:6605-6615
Loxosceles reclusa, or brown recluse spider, is a harmful household spider whose habitat extends throughout the Midwest in the USA and other regions in the world. The pheromones and other biomolecules that facilitate signaling for brown recluses and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a8a3476fc093bcdcd47c55ef3837a6
https://doi.org/10.1007/s00216-021-03626-8
https://doi.org/10.1007/s00216-021-03626-8
Autor:
Haidar Almubarak, George R. Thoma, Peng Guo, Rosemary Zuna, Jason R. Hagerty, R. Joe Stanley, Shelliane R. Frazier, William V. Stoecker, Randy Hays Moss, Sameer Antani, Rodney Long
In prior research, the authors introduced an automated, localized, fusion-based approach for classifying squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) from digitized histology image analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b66f1ddc340c5b285614e342873888e
https://doi.org/10.4018/978-1-6684-7136-4.ch002
https://doi.org/10.4018/978-1-6684-7136-4.ch002
Autor:
Norsang Lama, Reda Kasmi, Jason R. Hagerty, R. Joe Stanley, Reagan Young, Jessica Miinch, Januka Nepal, Anand Nambisan, William V. Stoecker
Publikováno v:
Journal of digital imaging.
Hair and ruler mark structures in dermoscopic images are an obstacle preventing accurate image segmentation and detection of critical network features. Recognition and removal of hairs from images can be challenging, especially for hairs that are thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4e68c0a87db6c7e62c48127708970d
https://pubmed.ncbi.nlm.nih.gov/36385676
https://pubmed.ncbi.nlm.nih.gov/36385676