Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients ( HOG )

Practical Relevance ◽

Threshold Values ◽

Flow Conditions ◽

Fully Automatic ◽

The Individual ◽

Coupling Algorithm ◽

Submerged Conditions

This contribution presents a new procedure for the automatic identification of the individual overtopping events. The procedure is based on a zero-down-crossing analysis of the water-surface-elevation signals and, based on two threshold values, can be applied to any structure crest level, i.e. to emerged, zero-freeboard, over-washed and submerged conditions. The results of the procedure are characterized by a level of accuracy comparable to the human-supervised analysis of the wave signals. The procedure includes a second algorithm for the coupling of the overtopping events registered at two consecutive gauges. This coupling algorithm offers a series of original applications of practical relevance, a.o. the possibility to estimate the wave celerities, i.e. the velocities of propagation of the single waves, which could be used as an approximation of the flow velocity in shallow water and broken flow conditions.

Fully automatic identification of AC and PC landmarks on brain MRI using scene analysis

IEEE Transactions on Medical Imaging ◽

10.1109/42.640751 ◽

1997 ◽

Vol 16 (5) ◽

pp. 610-616 ◽

Cited By ~ 41

Author(s):

L. Verard ◽

P. Allain ◽

J.M. Travere ◽

J.C. Baron ◽

D. Bloyet

Keyword(s):

Brain Mri ◽

Scene Analysis ◽

Deep reinforcement learning for efficient measurement of quantum devices

npj Quantum Information ◽

10.1038/s41534-021-00434-x ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

V. Nguyen ◽

S. B. Orbell ◽

D. T. Lennon ◽

H. Moon ◽

F. Vigneau ◽

...

Keyword(s):

Reinforcement Learning ◽

Double Quantum ◽

Large Parameter ◽

Quantum Devices ◽

Parameter Spaces ◽

Machine Learning Approach ◽

Efficient Measurement ◽

Fully Automatic ◽

Mean Time

AbstractDeep reinforcement learning is an emerging machine-learning approach that can teach a computer to learn from their actions and rewards similar to the way humans learn from experience. It offers many advantages in automating decision processes to navigate large parameter spaces. This paper proposes an approach to the efficient measurement of quantum devices based on deep reinforcement learning. We focus on double quantum dot devices, demonstrating the fully automatic identification of specific transport features called bias triangles. Measurements targeting these features are difficult to automate, since bias triangles are found in otherwise featureless regions of the parameter space. Our algorithm identifies bias triangles in a mean time of <30 min, and sometimes as little as 1 min. This approach, based on dueling deep Q-networks, can be adapted to a broad range of devices and target transport features. This is a crucial demonstration of the utility of deep reinforcement learning for decision making in the measurement and operation of quantum devices.

Evaluation of Binary Descriptors for Fast and Fully Automatic Identification

2014 22nd International Conference on Pattern Recognition ◽

10.1109/icpr.2014.36 ◽

2014 ◽

Cited By ~ 1

Author(s):

Line Eikvil ◽

Marit Holden

Keyword(s):

Binary Descriptors ◽

Identification of biochemically atypical Staphylococcus aureus clinical isolates with three automated identification systems

Journal of Medical Microbiology ◽

10.1099/jmm.0.46231-0 ◽

2006 ◽

Vol 55 (4) ◽

pp. 387-392 ◽

Cited By ~ 3

Author(s):

Yoshikazu Ishii ◽

Jimena Alba ◽

Chikako Maehara ◽

Hinako Murakami ◽

Tetsuya Matsumoto ◽

...

Keyword(s):

Staphylococcus Aureus ◽

Pcr Analysis ◽

Automated Identification ◽

Becton Dickinson ◽

Mannitol Salt Agar ◽

Confidence Levels ◽

Fully Automatic ◽

Automated Identification Systems ◽

Produce Acid

Between January and April 2002, a total of 271 strains of Staphylococcus aureus were isolated from clinical specimens at Toho University Omori Hospital, Japan, including 201 (74·2 %) which were identified as meticillin-resistant S. aureus (MRSA). However, 34 (12·5 %) were biochemically atypical, because they did not produce acid on mannitol salt agar or did not agglutinate in Staphaurex testing but were categorized as MRSA by PCR analysis and by antibiotic susceptibility. Three automatic identification systems, AutoScan-4® (Dade Behring), BD Phoenix™ (Becton Dickinson) and Vitek® 2 (bioMérieux), were evaluated by testing these atypical S. aureus isolates. The AutoScan-4® and Phoenix™ systems identified all 34 isolates as S. aureus. Without additional tests such as Staphaurex, observation of colony pigment and haemolysins on sheep blood agar, Vitek® 2 identified only 16 isolates (47·1 %) as S. aureus with good or better confidence levels and misidentified one of the remaining isolates as Staphylococcus chromogenes. This study shows that it is possible to identify these physiologically atypical S. aureus isolates correctly by using the Phoenix™ and AutoScan-4® fully automatic identification systems.

A new semi-automatic approach to find suitable virtual electrodes in arrays using an interpolation strategy

European Journal of Translational Myology ◽

10.4081/ejtm.2016.6029 ◽

2016 ◽

Vol 26 (2) ◽

Cited By ~ 4

Author(s):

Christina Salchow ◽

Markus Valtin ◽

Thomas Seel ◽

Thomas Schauer

Keyword(s):

Feedback Control ◽

Degrees Of Freedom ◽

Electrode Arrays ◽

Manual Search ◽

Fully Automatic ◽

Interpolation Strategy ◽

Element Array ◽

Virtual Electrodes ◽

Dynamic Shape

Functional Electrical Stimulation via electrode arrays enables the user to form virtual electrodes (VEs) of dynamic shape, size, and position. We developed a feedback-control-assisted manual search strategy which allows the therapist to conveniently and continuously modify VEs to find a good stimulation area. This works for applications in which the desired movement consists of at least two degrees of freedom. The virtual electrode can be moved to arbitrary locations within the array, and each involved element is stimulated with an individual intensity. Meanwhile, the applied global stimulation intensity is controlled automatically to meet a predefined angle for one degree of freedom. This enables the therapist to concentrate on the remaining degree(s) of freedom while changing the VE position. This feedback-control-assisted approach aims to integrate the user's opinion and the patient's sensation. Therefore, our method bridges the gap between manual search and fully automatic identification procedures for array electrodes. Measurements in four healthy volunteers were performed to demonstrate the usefulness of our concept, using a 24-element array to generate wrist and hand extension.

A robust method for automatic identification of landmarks on surface models of the pelvis

Scientific Reports ◽

10.1038/s41598-019-49573-4 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 4

Author(s):

Maximilian C. M. Fischer ◽

Felix Krooß ◽

Juliana Habor ◽

Klaus Radermacher

Keyword(s):

Coordinate System ◽

Reference Frames ◽

Patient Specific ◽

Initial Alignment ◽

Tangential Plane ◽

New Approach ◽

Bony Landmarks ◽

Surface Models ◽

Abstract The recognition of bony landmarks of the pelvis is a required operation in patient-specific orthopedics, subject-specific biomechanics or morphometrics. A fully automatic detection is preferable to a subjective and time-consuming manual identification. In this paper, a new approach, called the iterative tangential plane (ITP) method, for fully automatic identification of landmarks on surface models of the pelvis is introduced. The method includes the landmarks to construct the two most established anatomical reference frames of the pelvis: the anterior pelvic plane (APP) coordinate system and superior inferior spine plane (SISP) coordinate system. The ITP method proved to be robust against the initial alignment of the pelvis in space. A comparison to a manual identification was performed that showed minor but significant (p < 0.05) median differences below 3 mm for the position of the landmarks and below 1° for the orientation of the APP coordinate system. Whether these differences are acceptable, has to be evaluated for each specific use case. There were no significant differences for the orientation of the SISP coordinate system recommended by the International Society of Biomechanics.

Fully automatic identification and discrimination of sperm’s parts in microscopic images of stained human semen smear

Journal of Biomedical Science and Engineering ◽

10.4236/jbise.2012.57049 ◽

2012 ◽

Vol 05 (07) ◽

pp. 384-395 ◽

Cited By ~ 17

Author(s):

Ahmad Bijar ◽

Antonio Peñalver Benavent ◽

Mohammad Mikaeili ◽

Rasoul khayati

Keyword(s):

Human Semen ◽

Microscopic Images ◽

Automatic Identification and Representation of the Cornea–Contact Lens Relationship Using AS-OCT Images

Sensors ◽

10.3390/s19235087 ◽

2019 ◽

Vol 19 (23) ◽

pp. 5087

Author(s):

Pablo Cabaleiro ◽

Joaquim de Moura ◽

Jorge Novo ◽

Pablo Charlón ◽

Marcos Ortega

Keyword(s):

Contact Lens ◽

Anterior Segment ◽

Region Of Interest ◽

Distance Metrics ◽

Manual Inspection ◽

Nearest Point ◽

Fully Automatic ◽

Potential Damage ◽

Areas Of Interest

The clinical study of the cornea–contact lens relationship is widely used in the process of adaptation of the scleral contact lens (SCL) to the ocular morphology of patients. In that sense, the measurement of the adjustment between the SCL and the cornea can be used to study the comfort or potential damage that the lens may produce in the eye. The current analysis procedure implies the manual inspection of optical coherence tomography of the anterior segment images (AS-OCT) by the clinical experts. This process presents several limitations such as the inability to obtain complex metrics, the inaccuracies of the manual measurements or the requirement of a time-consuming process by the expert in a tedious process, among others. This work proposes a fully-automatic methodology for the extraction of the areas of interest in the study of the cornea–contact lens relationship and the measurement of representative metrics that allow the clinicians to measure quantitatively the adjustment between the lens and the eye. In particular, three distance metrics are herein proposed: Vertical, normal to the tangent of the region of interest and by the nearest point. Moreover, the images are classified to characterize the analysis as belonging to the central cornea, peripheral cornea, limbus or sclera (regions where the inner layer of the lens has already joined the cornea). Finally, the methodology graphically presents the results of the identified segmentations using an intuitive visualization that facilitates the analysis and diagnosis of the patients by the clinical experts.

A new method of complex structure analysis by electron microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100110283 ◽

1978 ◽

Vol 36 (1) ◽

pp. 628-629

Author(s):

V.V. Rybin ◽

E.V. Voronina

Keyword(s):

Complex Structure ◽

Reciprocal Lattice ◽

Stacking Faults ◽

Plastic Strains ◽

Base Position ◽

Structural Regularity ◽

Orientation Matrix ◽

Computerized Processing ◽

Fully Automatic ◽

Diffraction Patterns

Recently, it has become essential to develop a helpful method of the complete crystallographic identification of fine fragmented crystals. This was maainly due to the investigation into structural regularity of large plastic strains. The method should be practicable for determining crystallographic orientation (CO) of elastically stressed micro areas of the order of several micron fractions in size and filled with λ>1010 cm-2 density dislocations or stacking faults. The method must provide the misorientation vectors of the adjacent fragments when the angle ω changes from 0 to 180° with the accuracy of 0,3°. The problem is that the actual electron diffraction patterns obtained from fine fragmented crystals are the superpositions of reflections from various fragments, though more than one or two reflections from a fragment are hardly possible. Finally, the method should afford fully automatic computerized processing of the experimental results.The proposed method meets all the above requirements. It implies the construction for a certain base position of the crystal the orientation matrix (0M) A, which gives a single intercorrelation between the coordinates of the unity vector in the reference coordinate system (RCS) and those of the same vector in the crystal reciprocal lattice base : .