Results 131 to 140 of about 5,152,243 (358)

Improved histogram-based anomaly detector with the extended principal component features [PDF]

arXiv, 2019
In this era of big data, databases are growing rapidly in terms of the number of records. Fast automatic detection of anomalous records in these massive databases is a challenging task. Traditional distance based anomaly detectors are not applicable in these massive datasets.
arxiv  

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli, Daniele Zefiro, Stefania Garelli, Francesca Cavagnetto, Marco Gusinu, Monica Bevegni, Gladys Blandino, Alessandra Fozza, Fabrizio Levrero   +8 more
wiley   +1 more source

Co-occurrence histogram based ensemble of classifiers for classification of cervical cancer cells

Journal of Electronic Science and Technology, 2022
To explore the potential of conventional image processing techniques in the classification of cervical cancer cells, in this work, a co-occurrence histogram method was employed for image feature extraction and an ensemble classifier was developed by ...
Rajesh Yakkundimath, Varsha Jadhav, Basavaraj Anami, Naveen Malvade   +3 more
doaj  

Lesion boundary segmentation using level set methods [PDF]

, 2009
This paper addresses the issue of accurate lesion segmentation in retinal imagery, using level set methods and a novel stopping mechanism - an elementary features scheme.
Hunter, Andrew, Lowell, James, Massey, Elizabeth, Steele, David   +3 more
core  

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source

Hybrid Classification Approach of Malignant and Benign Pulmonary Nodules Based on Topological and Histogram Features [PDF]

, 2000
Yoshiki Kawata, Noboru Niki, H. Ohmatsu, Masahiko Kusumoto, R. Kakinuma, Kensaku Mori, Hiroyuki Nishiyama, Kana Eguchi, Masahiro Kaneko, N. Moriyama   +9 more
openalex   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Multi-feature Combination Track-to-track Association Based on Histogram Statistics Feature

Leida xuebao, 2019
Existing track-to-track association methods are mainly based on statistics and fuzzy mathematics.However, most methods based on statistics depend on thresholds, and parameters based on fuzzy mathematics are complex to set.
XU Yasheng, DING Chibiao, REN Wenjuan, XU Guangluan   +3 more
doaj   +1 more source

Local Linear Transform and New Features of Histogram Characteristic Functions for Steganalysis of Least Significant Bit Matching Steganography [PDF]

, 2011
Ergong Zheng, Xijian Ping, Tao Zhang
openalex   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source