Automated detection framework of the calcified plaque with acoustic shadowing in IVUS images

Z Gao, W Guo, X Liu, W Huang, H Zhang, N Tan… - PloS one, 2014 - journals.plos.org
… In this section, we develop a method to detect the calcified plaque with acoustic shadowing
in IVUS images. The flowchart of the proposed method is shown in Figure 1. First, a RMM is …

Automated placenta segmentation with a convolutional neural network weighted by acoustic shadow detection

R Hu, R Singla, R Yan, C Mayer… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
… addressed by developing an automated detection method. First… An automated algorithm for
placental detection offers the … The CNN was developed using the Keras framework. The CNN …

Acoustic shadow detection: study and statistics of B-mode and radiofrequency data

R Hu, R Singla, F Deeba, RN Rohling - Ultrasound in medicine & biology, 2019 - Elsevier
… A Dice coefficient was computed to compare similarity of manual and automated shadow
detection. The manual outline was used to define four regions for classification of statistical …

Automatic shadow detection and removal from a single image

SH Khan, M Bennamoun, F Sohel… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
… a framework to automatically detect and remove shadowsshadow detection put a lot of
effort in designing shadow variant and invariant hand-crafted features. In contrast, our framework

An automatic approach to the detection and extraction of mine features in sidescan sonar

S Reed, Y Petillot, J Bell - IEEE journal of oceanic engineering, 2003 - ieeexplore.ieee.org
… All three of these systems operate using the detection/classification framework although …
This section has introduced an automated detection algorithm which conducts a detection-…

Automatic bird sound detection in long real-field recordings: Applications and tools

I Potamitis, S Ntalampiras, O Jahn, K Riede - Applied Acoustics, 2014 - Elsevier
… We evaluate the performance of the detection framework in terms of precision (P) and
recall (R) which are defined as:(8) P = N hits N hits + N FA , R = N hits N actual where N hits …

Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging

Q Meng, M Sinclair, V Zimmer, B Hou… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
acoustic shadows is subjective and time consuming. In this paper we propose a weakly
supervised method for automatic confidence estimation of acoustic shadowautomatic detection

An automatic geometrical and statistical method to detect acoustic shadows in intraoperative ultrasound brain images

P Hellier, P Coupé, X Morandi, DL Collins - Medical Image Analysis, 2010 - Elsevier
acoustic shadows are detected corresponding to deep areas. Further work should focus on
acoustic shadows … The framework presented here would need to be adapted to this case. For …

Automated acoustic detection of Vanellus chilensis lampronotus

TD Ganchev, O Jahn, MI Marques… - Expert systems with …, 2015 - Elsevier
… the potential benefits of automated detection of V. chilensis acoustic activity, without the …
method and the technological framework on which the acoustic event recognizer is built. There …

Detecting moving shadows: algorithms and evaluation

A Prati, I Mikic, MM Trivedi… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
… However, how much the parameter setting is automated is not clear in this paper. … and the
remaining frames as the testing set for our experimental framework. Note that the calculated …