Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Dror Lederman"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Digital Breast Tomosynthesis (DBT) has revolutionized more traditional breast imaging through its three-dimensional (3D) visualization capability that significantly enhances lesion discernibility, reduces tissue overlap, and improves diagnos
Externí odkaz:
https://doaj.org/article/098e835fce654332bf70c9ddb799c72b
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionEnvironmental and genetic factors contribute to the increased risk for neurodevelopmental disorders, including deficits in the development of social communication. In the mouse, ultrasonic vocalizations emitted by the pup stimulate matern
Externí odkaz:
https://doaj.org/article/675cf58b02ba40a4904c26c0fdf50638
Autor:
Itay Shekel, Shaked Giladi, Eynav Raykin, May Weiner, Vered Chalifa-Caspi, Dror Lederman, Ora Kofman, Hava M. Golan
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Studies in rodent models suggest that calls emitted by isolated pups serve as an early behavioral manifestation of communication deficits and autistic like behavior. Previous studies in our labs showed that gestational exposure to the pesticide chlor
Externí odkaz:
https://doaj.org/article/2eb0f174c9934c3ba3a1a53fc8fbc456
Autor:
Dror Lederman
Publikováno v:
Proceedings of the International Neural Networks Society ISBN: 9783030805678
EANN
EANN
Complications related to the misplacement and dislodging of endotracheal intubation can be lethal. A novel artificial intelligence system for endotracheal intubation confirmation is described, based on the processing of images acquired during the int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11cb2715958752b99c3698569e7da67f
https://doi.org/10.1007/978-3-030-80568-5_11
https://doi.org/10.1007/978-3-030-80568-5_11
Publikováno v:
Medical Physics. 45:1459-1470
Purpose This study aims to develop and test a new computer-aided detection (CAD) approach and scheme, assessing the likelihood of a subject harboring breast abnormalities. Methods The proposed scheme is based on the analysis of both local and global
Publikováno v:
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE).
This paper addresses the problem of mass detection in mammograms. It has long ago been shown that computer-aided diagnosis (CAD) schemes have the potential of improving breast cancer diagnosis performance. We propose a CAD scheme based on convolution
Publikováno v:
EMBC
Breast cancer is the most prevalent cancer among women. The most common method to detect breast cancer is mammography. However, interpreting mammography is a challenging task that requires high skills and is timeconsuming. In this work, we propose a
Autor:
Dror Lederman
Publikováno v:
Computer Science & Information Technology (CS & IT).
Autor:
Dror Lederman
Publikováno v:
ICPRAM
Publikováno v:
EMBC
Accurate segmentation of breast lesions depicting on two-dimensional projection mammograms has been proven very difficult and unreliable. In this study we investigated a new approach of a computer-aided detection (CAD) scheme of mammograms without le