Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Eugene Walach"'
Autor:
Colin B. Compas, Amit Guy, Orest B. Boyko, Deepika Kakrania, R. Negahdar, Simona Rabinovici-Cohen, Pavel Kisilev, Prasanth Prasanna, Sharbell Y. Hashoul, Yufan Guo, Tanveer Syeda-Mahmood, José M. Morey, Yaniv Gur, David Beymer, Eugene Walach, Deepta Rajan, Tyler Baldwin, Mehdi Moradi, Hongzhi Wang, Yu Cao, F. Gilboa-Solomon, Rami Ben-Ari, Aviad Zlotnick
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Radiologists and cardiologists today have to view large amounts of imaging data relatively quickly leading to eye fatigue. Further, they have only limited access to clinical information relying mostly on their visual interpretation of imaging studies
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 7:819-827
Following a recent introduction of computer-aided simple triage (CAST) as a new subclass of computer-aided detection/diagnosis (CAD), we present a CAST software system for a fully automatic initial interpretation of coronary CT angiography (CCTA). We
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319245706
MICCAI (2)
MICCAI (2)
Mammography is the first-line modality for screening and diagnosis of breast cancer. Following the common practice of radiologists to examine two mammography views, we propose a fully automated dual-view analysis framework for breast mass detection i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8afd741300334aa6a4db1f5ccc126ca6
https://doi.org/10.1007/978-3-319-24571-3_6
https://doi.org/10.1007/978-3-319-24571-3_6
Publikováno v:
BMVC
Computer Aided Diagnosis (CADx) systems are designed to assist doctors in medical image interpretation. However, a CADx is often thought of as a "black box" whose diagnostic decision is not intelligible to a radiologist. Therefore, a system that uses
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
To overcome operator dependency and to increase diagnosis accuracy in breast ultrasound (US), a lot of effort has been devoted to developing computer-aided diagnosis (CAD) systems for breast cancer detection and classification. Unfortunately, the eff
Autor:
Eugene Walach, Sivan Harary
Publikováno v:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging ISBN: 9783642366192
MCV
MCV
Although breast cancer imaging techniques continue to improve rapidly, about 75% of all breast biopsies turn out to be benign. These unnecessary biopsies are expensive and very stressful for the patients. In this paper we propose a new method for red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2356cf23b08e8b2caf9ba969f2010bfa
https://doi.org/10.1007/978-3-642-36620-8_23
https://doi.org/10.1007/978-3-642-36620-8_23
Publikováno v:
ICDAR
Optical character recognition (OCR) technology is widely used to convert scanned documents to text. However, historical books still remain a challenge for state-of-the-art OCR engines. This work proposes a new approach to the OCR of large bodies of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65add6828adbb4bd1c92068a21793317
Publikováno v:
Current Trends in Web Engineering ISBN: 9783642169847
The processing of scanned documents calls for automatic recognition of the text by OCR (Optical Character Recognition) computer programs, followed by human validation and correction. Crowdsourcing of these essential manual tasks is a good option, pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e25c3a6f187b4ab85da0d65aca3ab37
https://doi.org/10.1007/978-3-642-16985-4_36
https://doi.org/10.1007/978-3-642-16985-4_36
Publikováno v:
Machine Vision and Applications. 5:143-155
This paper describes an intelligent forms processing system (IFPS) which provides capabilities for automatically indexing form documents for storage/retrieval to/from a document library and for capturing information from scanned form images using int
Publikováno v:
ICDAR
The aim of this work is to propose a new approach to the recognition of historical texts by providing an adaptive mechanism that automatically tunes itself to a specific book. The system is based on clustering together all the similar words in a book