Zobrazeno 1 - 10
of 77
pro vyhledávání: '"R. Joe Stanley"'
Publikováno v:
Information, Vol 8, Iss 3, p 89 (2017)
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermoscopy images. The approach extends previous research for utilizing a fuzzy set for skin lesion color for a spe
Externí odkaz:
https://doaj.org/article/350ca6465fdd4c41b09b52446d7bcdf8
Autor:
Reda Kasmi, Jason Hagerty, Reagan Young, Norsang Lama, Januka Nepal, Jessica Miinch, William Stoecker, R Joe Stanley
Publikováno v:
Skin Research and Technology. 29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9694489c1c77b2ba20a68615bffbee69
https://doi.org/10.1111/srt.13203
https://doi.org/10.1111/srt.13203
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:
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:
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
Autor:
Rosemary E. Zuna, George R. Thoma, William V. Stoecker, L. Rodney Long, Sameer Antani, Peng Guo, R. Joe Stanley, Haidar Almubarak, Shelliane R. Frazier
Publikováno v:
International Journal of Healthcare Information Systems and Informatics. 14:66-87
Cervical cancer is the second most common cancer affecting women worldwide but is curable if diagnosed early. Routinely, expert pathologists visually examine histology slides for assessing cervix tissue abnormalities. A localized, fusion-based, hybri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fcbefdbe5dafd7004e5fb3a73b89ea9
https://doi.org/10.4018/ijhisi.2019040105
https://doi.org/10.4018/ijhisi.2019040105
Autor:
Donald C. Wunsch, Daryl G. Beetner, Rohit Dua, Venkat Satagopan, Kapil Gupta, Brian Blaha, R. Joe Stanley, John Seiffertt
Publikováno v:
2005 Annual Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b41714d408ad474cbdf9208632148a8b
https://doi.org/10.18260/1-2--14397
https://doi.org/10.18260/1-2--14397
Autor:
William V. Stoecker, Rodney Long, R. Joe Stanley, Ravitej Addanki, Sameer Antani, Sudhir Sornapudi, Rosemary E. Zuna, Shellaine R. Frazier
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 correlated with hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15cce0a792e72d615f6e1320f66653a4