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Hybrid Navigation Interface for Orthopedic and Trauma Surgery [chapter]

Joerg Traub, Philipp Stefan, Sandro Michael Heining, Tobias Sielhorst, Christian Riquarts, Ekkehard Euler, Nassir Navab
2006 Lecture Notes in Computer Science  
In standard slice based navigation, three dimensional imaging data is visualized on a two dimensional user interface in the surgery room.  ...  Another technology is the in-situ visualization i.e. the superimposition of imaging data directly into the view of the surgeon, spatially registered with the patient.  ...  Special thanks to Frank Sauer, Ali Khamene, and Sebastian Vogt from Siemens Corporate Research for the design and implementation of the in-situ visualization system RAMP.  ... 
doi:10.1007/11866565_46 fatcat:tcx2mzrhqzgrfnrpmsrmibb2gi

A Quantum Hybrid PSO Combined with Fuzzy k-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection

Abdullah Iliyasu, Chastine Fatichah
2017 Sensors  
, and carcinoma in situ.  ...  The filter method is considered computationally fast, easy to interpret, and is scalable for high-dimensional data [16] .  ...  To extract textural features from the CS images, we use Local Binary Pattern Histogram Fourier (LBP-HF) protocol, wherein we start by applying operator LBP to obtain the pattern of data and create its  ... 
doi:10.3390/s17122935 pmid:29257043 pmcid:PMC5750777 fatcat:55v7btrj6fc33lmvbnd4d6jyem

Macular Hole Detection Using a New Hybrid Method: Using Multilevel Thresholding and Derivation on Optical Coherence Tomographic Images

Sahand Shahalinejad, Reza Seifi Majdar, V. Rajinikanth
2021 Computational Intelligence and Neuroscience  
In addition, fast and direct imaging of tissue morphology and reproducibility of results are the advantages of this imaging. Macular holes are a common eye disease that leads to visual impairment.  ...  Optical coherence tomography (OCT) is a noninvasive imaging test. OCT imaging is analogous to ultrasound imaging, except that it uses light instead of sound.  ...  It is usually best to convert the gray spectrum image to a binary image (black and white).  ... 
doi:10.1155/2021/6904217 pmid:34976042 pmcid:PMC8716210 fatcat:j4xb3g3ft5cvrgssxh5kpx4irm

Segmentation and Classification of Dot and Non-Dot-Like Fluorescence in situ Hybridization Signals for Automated Detection of Cytogenetic Abnormalities

Boaz Lerner, Lev Koushnir, Josepha Yeshaya
2007 IEEE Transactions on Information Technology in Biomedicine  
Signal segmentation and classification of fluorescence in situ hybridization (FISH) images are essential for the detection of cytogenetic abnormalities.  ...  Index Terms-Classification, cytogenetic abnormality, fluorescence in situ hybridization (FISH), image segmentation, multilayer perceptron (MLP), naive Bayesian classifier (NBC).  ...  To separate nucleus clusters, we apply the watershed algorithm to the binary image distance transform [16] .  ... 
doi:10.1109/titb.2007.894335 pmid:17674627 fatcat:xfsa5jchdjcotiuczx2f72diom

Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology

Ryan P. Lau, Teresa H. Kim, Jianyu Rao
2021 Frontiers in Medicine  
Several advances in recent decades in digital imaging, artificial intelligence, and multiplex modalities have improved our ability to automatically analyze and interpret imaging data.  ...  Improvements in computer vision and machine learning have made algorithms more successful in automatically identifying important features to diagnose disease.  ...  It is the use of algorithms to analyze data, automatically learn, and then apply that to new data to make intelligent decisions.  ... 
doi:10.3389/fmed.2021.689954 fatcat:uxog2khm4fgchpssk6y66pndaq

FISHji: New ImageJ macros for the quantification of fluorescence in epifluorescence images

Sílvia Fontenete, Daniel Carvalho, Anália Lourenço, Nuno Guimarães, Pedro Madureira, Céu Figueiredo, Nuno Filipe Azevedo
2016 Biochemical engineering journal  
Fluorescence in situ hybridization (FISH) is based on the use of fluorescent staining dyes, however, the signal intensity of the images obtained by microscopy is seldom quantified with accuracy by the  ...  due to the lack of precision in the results and the complexity of existing software.  ...  Fluorescence in situ hybridization (FISH) is one of the methodologies in which a quantitative validation of results is required.  ... 
doi:10.1016/j.bej.2016.04.001 fatcat:b7dy4zr5m5gkngbl64c3oe3y4q

Image Segmentation to Distinguish Between Overlapping Human Chromosomes [article]

R. Lily Hu, Jeremy Karnowski, Ross Fadely, Jean-Patrick Pommier
2017 arXiv   pre-print
A segmentation solution that is fast and automated will enable scaling of cost effective medicine and biomedical research.  ...  We apply neural network-based image segmentation to the problem of distinguishing between partially overlapping DNA chromosomes. A convolutional neural network is customized for this problem.  ...  New algorithms and application were developed to process and interpret fluorescent images, study genomic hybridization, and measure the telomere length Q-FISH [12] [18] [2] .  ... 
arXiv:1712.07639v1 fatcat:vfusw4zo35a7hfcnfnofcdeygi

Stereological measurement of porto-central gradients in gene expression in mouse liver

Jan M. Ruijter, Roben G. Gieling, Marry M. Markman, Jaco Hagoort, Wouter H. Lamers
2004 Hepatology  
We have developed a robust stereological method to map all points in an image to their position on this porto-central axis.  ...  The method was used to determine the expression gradient of 2 periportal and 2 pericentral enzymes and their response to fasting.  ...  Antoon Moorman and Theo Hakvoort are gratefully acknowledged for valuable discussions during the development of this method.  ... 
doi:10.1002/hep.20068 pmid:14767987 fatcat:mdyj4pgdynb3xcymipxs3uo75y

Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization [chapter]

Mehrdad Salehi, Seyed-Ahmad Ahmadi, Raphael Prevost, Nassir Navab, Wolfgang Wein
2015 Lecture Notes in Computer Science  
In this work, we address these problems by proposing a novel efficient ultrasound simulation method based on convolutional ray-tracing which directly takes volumetric image data as input.  ...  However, both the long computation times and the limited realism due to lack of acoustic information from tomographic scans prevent a wide adoption of such a simulation.  ...  A further attractive application is pre-operative planning, in which a patient-specific ultrasound simulation of the operational situs could help the surgeon to anticipate tissue appearance or optimal  ... 
doi:10.1007/978-3-319-24571-3_61 fatcat:7ty3bwraejbnlj3kmcmlzmdiqe

Automated analysis of FISH and immunohistochemistry images: A review

Zenonas Theodosiou, Ioannis N. Kasampalidis, George Livanos, Michalis Zervakis, Ioannis Pitas, Kleoniki Lyroudia
2007 Cytometry Part A  
Fluorescent in-situ hybridization (FISH) and immunohistochemistry (IHC) constitute a pair of complimentary techniques for detecting gene amplification and overexpression, respectively.  ...  Here, we provide a comprehensive review of a number of (semi-) automated FISH and IHC image processing systems, focusing on the algorithmic aspects of each tech-nique.  ...  Dourou at the Aristotle University of Thessaloniki for providing an example of an IHC image. LITERATURE CITED  ... 
doi:10.1002/cyto.a.20409 pmid:17559119 fatcat:yhjaigwpfjhvzgxw2hwmbwoki4

Computer vision for image-based transcriptomics

Thomas Stoeger, Nico Battich, Markus D. Herrmann, Yauhen Yakimovich, Lucas Pelkmans
2015 Methods  
Image-based transcriptomics is unique compared to other methods as it does not require conversion of RNA to cDNA prior to signal amplification and transcript quantification.  ...  Image-based transcriptomics is unique compared to other methods as it does not require conversion of RNA to cDNA prior to signal amplification and transcript quantification.  ...  Acknowledgements We would like to acknowledge A. Schwab for help on the development of the IdentifyPrimaryIterative.m module, Q. Nguyen and S.  ... 
doi:10.1016/j.ymeth.2015.05.016 pmid:26014038 fatcat:zhjsxewpgrcs5ojctnrvdt6yea

A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern

Saeed Iqbal, Adnan N. Qureshi
2022 IEEE Access  
The recommended hybrid high F1 score and precision, as well as its excellent generalization and accuracy, imply that it might be used to build a pathologist's aid tool.  ...  In the first stage, the proposed method identifies probable mitotic patches in histopathological imaging regions, and in the second stage, the proposed model classifies these patches into mitotic and non-mitotic  ...  Deep segmentation models such as Mask R-CNN are used to further segment a weakly annotated breast cancer dataset [50] and Fast R-CNN [51] .  ... 
doi:10.1109/access.2022.3183331 fatcat:l7xufpvrwbhvjajkfma4dujswq

Multimodal registration of FISH and nanoSIMS images using convolutional neural network models [article]

Xiaojia He, Christof Meile, Suchendra M. Bhandarkar
2022 arXiv   pre-print
Nanoscale secondary ion mass spectrometry (nanoSIMS) and fluorescence in situ hybridization (FISH) microscopy provide high-resolution, multimodal image representations of the identity and cell activity  ...  Despite its importance to microbiologists, multimodal registration of FISH and nanoSIMS images is challenging given the morphological distortion and background noise in both images.  ...  Acknowledgment We thank Victoria Orphan and Gray Chadwick for providing the FISH and nanoSIMS images and the data on manual image registration used in (24) .  ... 
arXiv:2201.05545v2 fatcat:snbpjup4nzejjpt5cznhtif45q

Automated classification of touching or overlapping M-FISH chromosomes by region fusion and homolog pairing

Yongqiang Zhao, Seong G. Kong
2012 Pattern Analysis and Applications  
The advent of the multiplex fluorescence in situ hybridization (M-FISH) technology enables multi-spectral chromosome image with rich spectral information and DAPI image with abundant texture information  ...  This paper presents a fusion classification scheme to improve the segmentation of overlapping and touching chromosomes.  ...  Related works Numerous methods have been developed to automate the analysis process in FISH (fluorescent in situ hybridization) chromosome images [1, [5] [6] [7] [8] [9] 18 ] and M-FISH images [1, 3,  ... 
doi:10.1007/s10044-012-0301-y fatcat:dodnz7nc55hufbgznjudrcwm5u

Biomedical image segmentation using geometric deformable models and metaheuristics

Pablo Mesejo, Andrea Valsecchi, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas
2015 Computerized Medical Imaging and Graphics  
This paper describes a hybrid level set approach for medical image segmentation.  ...  In an experimental comparison, this approach has shown a better performance than a number of state-of-the-art methods when segmenting anatomical structures from different biomedical image modalities.  ...  NMR database is the property of "CEA/I2BM/NeuroSpin" and can be provided on demand to  ... 
doi:10.1016/j.compmedimag.2013.12.005 pmid:24480648 fatcat:ixsjugbhrje7do7ykddxhi3hty
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