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Articles 1 - 11 of 11
Full-Text Articles in Physical Sciences and Mathematics
Automatic Left Ventricle Detection In Echocardiographic Images For Deformable Contour Initialization, Cher Hau Seng, Ramazan Demirli, Moeness G. Amin, Jason L. Seachrist, Abdesselam Bouzerdoum
Automatic Left Ventricle Detection In Echocardiographic Images For Deformable Contour Initialization, Cher Hau Seng, Ramazan Demirli, Moeness G. Amin, Jason L. Seachrist, Abdesselam Bouzerdoum
Cher Hau Seng
The accurate left ventricular boundary detection in echocardiographic images allow cardiologists to study and assess cardiomyopathy in patients. Due to the tedious and time consuming manner of manually tracing the borders, deformable models are generally used for left ventricle segmentations. However, most deformable models require a good initialization, which is usually outlined manually by the user. In this paper, we propose an automated left ventricle detection method for two-dimensional echocardiographic images that could serve as an initialization for deformable models. The proposed approach consists of pre-processing and post-processing stages, coupled with the watershed segmentation. The pre-processing stage enhances the overall …
Automatic Classification Of Human Motions Using Doppler Radar, Jingli Li, Son Lam Phung, Fok Hing Chi Tivive, Abdesselam Bouzerdoum
Automatic Classification Of Human Motions Using Doppler Radar, Jingli Li, Son Lam Phung, Fok Hing Chi Tivive, Abdesselam Bouzerdoum
Dr Fok Hing Chi Tivive
This paper presents a new approach to classify human motions using a Doppler radar for applications in security and surveillance. Traditionally, the Doppler radar is an effective tool for detecting the position and velocity of a moving target, even in adverse weather conditions and from a long range. In this paper, we are interested in using the Doppler radar to recognize the micro-motions exhibited by people. In the proposed approach, a frequency modulated continuous wave radar is applied to scan the target, and the short-time Fourier transform is used to convert the radar signal into spectrogram. Then, the new two-directional, …
Design An Automatic Appointment System To Improve Patient Access To Primary Health Care, Hongxiang Hu, Ping Yu, Jun Yan
Design An Automatic Appointment System To Improve Patient Access To Primary Health Care, Hongxiang Hu, Ping Yu, Jun Yan
Dr Ping Yu
Advanced Access model has been introduced in general practice in the United States to improve patient access to primary health care services for more than ten years. It has brought in the benefits of eliminating service provider’s waiting lists, improving patients’ timely access to services and reducing no-show rate. However, to implement this model, practices need to collect relevant information, develop contingency plans and set up practice strategies to balance the provision of care and patient’s demand. These tasks are not always easy to achieve. Understanding the requirements and constraints for effective management of patient booking is essential for developing …
A Novel Multi-Image Query Techniques For Automatic Query Concept Capture, Fenghui Ren, Philip Ogunbona, Lei Ye
A Novel Multi-Image Query Techniques For Automatic Query Concept Capture, Fenghui Ren, Philip Ogunbona, Lei Ye
Dr Fenghui Ren
No abstract provided.
Automatic Detection Of Microcalcifications In Mammorgams Using A Fuzzy Classifier, Fazel Naghdy, Golshah Naghdy, Agustinus Drijarkara
Automatic Detection Of Microcalcifications In Mammorgams Using A Fuzzy Classifier, Fazel Naghdy, Golshah Naghdy, Agustinus Drijarkara
Associate Professor Golshah Naghdy
No abstract provided.
Automatic Classification Of Human Motions Using Doppler Radar, Jingli Li, Son Lam Phung, Fok Hing Chi Tivive, Abdesselam Bouzerdoum
Automatic Classification Of Human Motions Using Doppler Radar, Jingli Li, Son Lam Phung, Fok Hing Chi Tivive, Abdesselam Bouzerdoum
Professor Salim Bouzerdoum
This paper presents a new approach to classify human motions using a Doppler radar for applications in security and surveillance. Traditionally, the Doppler radar is an effective tool for detecting the position and velocity of a moving target, even in adverse weather conditions and from a long range. In this paper, we are interested in using the Doppler radar to recognize the micro-motions exhibited by people. In the proposed approach, a frequency modulated continuous wave radar is applied to scan the target, and the short-time Fourier transform is used to convert the radar signal into spectrogram. Then, the new two-directional, …
Automatic Left Ventricle Detection In Echocardiographic Images For Deformable Contour Initialization, Cher Hau Seng, Ramazan Demirli, Moeness G. Amin, Jason L. Seachrist, Abdesselam Bouzerdoum
Automatic Left Ventricle Detection In Echocardiographic Images For Deformable Contour Initialization, Cher Hau Seng, Ramazan Demirli, Moeness G. Amin, Jason L. Seachrist, Abdesselam Bouzerdoum
Professor Salim Bouzerdoum
The accurate left ventricular boundary detection in echocardiographic images allow cardiologists to study and assess cardiomyopathy in patients. Due to the tedious and time consuming manner of manually tracing the borders, deformable models are generally used for left ventricle segmentations. However, most deformable models require a good initialization, which is usually outlined manually by the user. In this paper, we propose an automated left ventricle detection method for two-dimensional echocardiographic images that could serve as an initialization for deformable models. The proposed approach consists of pre-processing and post-processing stages, coupled with the watershed segmentation. The pre-processing stage enhances the overall …
A Novel Multi-Image Query Techniques For Automatic Query Concept Capture, Fenghui Ren, Philip Ogunbona, Lei Ye
A Novel Multi-Image Query Techniques For Automatic Query Concept Capture, Fenghui Ren, Philip Ogunbona, Lei Ye
Professor Philip Ogunbona
No abstract provided.
Automatic Detection Of Microcalcifications In Mammorgams Using A Fuzzy Classifier, Fazel Naghdy, Golshah Naghdy, Agustinus Drijarkara
Automatic Detection Of Microcalcifications In Mammorgams Using A Fuzzy Classifier, Fazel Naghdy, Golshah Naghdy, Agustinus Drijarkara
Professor Fazel Naghdy
No abstract provided.
Teaching By Showing For Automatic Assembly Through A Virtual Environment, Yan Chen, Fazel Naghdy
Teaching By Showing For Automatic Assembly Through A Virtual Environment, Yan Chen, Fazel Naghdy
Professor Fazel Naghdy
No abstract provided.
Skill Acquisition From A Haptic Rendered Virtual Environment For Automatic Assembly, Yuxin Chen, Fazel Naghdy
Skill Acquisition From A Haptic Rendered Virtual Environment For Automatic Assembly, Yuxin Chen, Fazel Naghdy
Professor Fazel Naghdy
No abstract provided.