Journal ArticleDOI
Biopsy needle tracking technique in US images.
TLDR
The investigated detection algorithm introduces Histogram of Oriented Gradients and image entropy, whereas the tracking part employs Hough transform, Gabor filter and Kanade-Lucas-Tomasi optical flow estimation technique.About:
This article is published in Computerized Medical Imaging and Graphics.The article was published on 2017-07-21. It has received 8 citations till now. The article focuses on the topics: Hough transform & Video tracking.read more
Citations
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Journal ArticleDOI
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
Hassan Al Hajj,Mathieu Lamard,Pierre-Henri Conze,Soumali Roychowdhury,Xiaowei Hu,Gabija Maršalkaitė,Odysseas Zisimopoulos,Muneer Ahmad Dedmari,Fenqiang Zhao,Jonas Prellberg,Manish Sahu,Adrian Galdran,Teresa Araújo,Duc My Vo,Chandan Panda,Navdeep Dahiya,Satoshi Kondo,Zhengbing Bian,Arash Vahdat,Jonas Bialopetravičius,Evangello Flouty,Chenhui Qiu,Sabrina Dill,Anirban Mukhopadhyay,Pedro Alves Costa,Guilherme Aresta,Senthil Ramamurthy,Sang-Woong Lee,Aurélio Campilho,Stefan Zachow,Shunren Xia,Sailesh Conjeti,Danail Stoyanov,Jogundas Armaitis,Pheng-Ann Heng,William G. Macready,Béatrice Cochener,Gwenole Quellec +37 more
TL;DR: Evaluating tool annotation algorithms based on deep learning for cataract surgery finds that the quality of their annotations are compared to that of human interpretations, and it is expected that they will guide the design of efficient surgery monitoring tools in the near future.
Journal ArticleDOI
Portable Body-Attached Positioning Mechanism Toward Robotic Needle Intervention
Xiao Xiao,Huxin Gao,Changsheng Li,Liang Qiu,Kirthika Senthil Kumar,Catherine Jiayi Cai,Bipin Sewakram Bhola,Nicolas Kon Kam King,Hongliang Ren +8 more
TL;DR: In this paper, a robotic needle positioning approach with a novel 4-DoF parallel positioner, two back-driveable 2-channel linear/rotational driver, and a machine-body interface is presented.
Proceedings ArticleDOI
Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies
TL;DR: In this paper , the authors proposed a standardized way of validating the accuracy of the localization of the biopsy needle in ultrasound images, which can directly translate to reducing the risk of damage to the tissues surrounding the lesion and spreading cancer cells.
Journal ArticleDOI
Editorial: Special issue on advances in biomedical image processing.
Ewa Pietka,Arkadiusz Gertych +1 more
TL;DR: This special issue aims to focus on advanced techniques implemented in biomedical image processing by employing robust methods in noise suppression, object detection, segmentation, and image registration to improve the performance of diagnosis.
Proceedings ArticleDOI
Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies
Agata M. Wijata,Jakub Nalepa +1 more
TL;DR: In this article , the authors proposed a standardized way of validating the accuracy of the localization of the biopsy needle in ultrasound images, which can directly translate to reducing the risk of damage to the tissues surrounding the lesion and spreading cancer cells.
References
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Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Proceedings Article
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas,Takeo Kanade +1 more
TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
Journal ArticleDOI
Object Detection with Discriminatively Trained Part-Based Models
TL;DR: An object detection system based on mixtures of multiscale deformable part models that is able to represent highly variable object classes and achieves state-of-the-art results in the PASCAL object detection challenges is described.