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Front Matter: Volume 9790

2016 Medical Imaging 2016: Ultrasonic Imaging and Tomography  
scanner [9790-35] POSTER SESSION 9790 11 Automated 3D ultrasound image segmentation for assistant diagnosis of breast cancer [9790-36] 9790 12 Development of estimation system of knee extension  ...  tomography to identify the distributions of density throughout the breast [9790-44] 9790 1A Automated kidney morphology measurements from ultrasound images using texture and edge analysis [9790-45  ... 
doi:10.1117/12.2240428 fatcat:mf56ppgnvvblbcw3tmbox75s64

Analysis of Oriented Texture with Applications to the Detection of Architectural Distortion in Mammograms

Fábio J. Ayres, Rangaraj M. Rangayyan, J. E. Leo Desautels
2010 Synthesis Lectures on Biomedical Engineering  
In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the  ...  This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields  ...  Many researchers have investigated computer methods for the assessment of the risk of development of breast cancer via automated analysis of breast density. Byng et al.  ... 
doi:10.2200/s00301ed1v01y201010bme038 fatcat:acm7pqcz35gydnyisqbadop7my

Segmentation and classification of triple negative breast cancers using DCE-MRI

Shannon C. Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell Schnall, Michael Feldman, John Tomaszewski
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
, but also to quantitatively distinguish triple negative breast cancers from other molecular subtypes of breast cancer. 41 breast lesions (24 malignant, 17 benign) as imaged on DCE-MRI were included in  ...  Using the dynamic signal intensity information from the DCE-MRIs, an Expectation Maximization-driven active contours scheme is used to automatically segment the breast lesions.  ...  of over 500 different features for quantitatively characterizing the appearance of different breast cancer subtypes; and (3) Breast lesion classification performed in a hierarchical manner, first distinguishing  ... 
doi:10.1109/isbi.2009.5193283 dblp:conf/isbi/AgnerXFGMERTSFT09 fatcat:rb7i37uzezdjxjjtis5ajal3ja

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Adrien Depeursinge, Antonio Foncubierta-Rodriguez, Dimitri Van De Ville, Henning Müller
2014 Medical Image Analysis  
Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and high-throughput screening of imaging data.  ...  Using texture synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal ageing process and disease progression for enhanced treatment planning and clinical care  ...  Acknowledgments This work was supported by the Swiss National Science Foundation (under Grants 205320-141300/1, PBGEP2_142283 and PP00P2-146318), the CIBM, and the EU 7th Framework Program in the context of  ... 
doi:10.1016/ pmid:24231667 fatcat:6luivlhrtrdv5dlbh626ohkps4

Snakules: Snakes that seek spicules on mammography

Gautam S. Muralidhar, Alan C. Bovik, Mia K. Markey
2010 2010 IEEE International Conference on Image Processing  
The set of convergent snakules deform, grow and adapt to the true spicules in the image, by an attractive process of curve evolution and motion that optimizes the local matching energy.  ...  We present a new method called "snakules" for the annotation of spicules on mammography.  ...  CADe systems have been developed to assist radiologists in detecting signs of early breast cancer [2] .  ... 
doi:10.1109/icip.2010.5652334 dblp:conf/icip/MuralidharBM10 fatcat:5uz5fviug5bv7dlg66364btuie

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer

Scott Doyle, Michael D Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi
2012 BMC Bioinformatics  
Automated classification of histopathology involves identification of multiple classes, including benign, cancerous, and confounder categories.  ...  Conclusions: Use of the CAS strategy increases the PPV for a multi-category classification system over two common alternative strategies.  ...  Coulter Foundation, New Jersey Commission on Cancer Research, National Cancer Institute (R01CA136535-01, R01CA140772-01, and R03CA143991-01), US Dept. of Defense (W81XWH-08-1-0145), and The Cancer Institute  ... 
doi:10.1186/1471-2105-13-282 pmid:23110677 pmcid:PMC3563463 fatcat:cqw7ilnmg5eybgeo6bi5dixw4e

Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis [chapter]

Scott Doyle, Anant Madabhushi
2010 Lecture Notes in Computer Science  
We use a Probabilistic Boosting Tree (PBT) to classify each dataset as either cancer or non-cancer (prostate), or high or low grade cancer (breast).  ...  18 prostate DCE-MRI patient studies, and 9,000 breast histopathology regions of interest from 2 patients.  ...  Similar to the motivation in Experiment 1, an automated image analysis system can assist pathologists in detecting and diagnosing breast cancer.  ... 
doi:10.1007/978-3-642-16001-1_27 fatcat:lgunzi5awnh77mgppbobu5qaxy

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification

Shannon C. Agner, Salil Soman, Edward Libfeld, Margie McDonald, Kathleen Thomas, Sarah Englander, Mark A. Rosen, Deanna Chin, John Nosher, Anant Madabhushi
2010 Journal of digital imaging  
Despite the increasing use of breast DCE-MRI, specificity in distinguishing malignant from benign breast lesions is low, and interobserver variability in lesion classification is high.  ...  Graph embedding, used for qualitative visualization of a low-dimensional representation of the data, showed the best separation between benign and malignant lesions when using textural kinetic features  ...  -01), the Society for Imaging Informatics in Medicine (SIIM), the Cancer Institute of New Jersey, and the Life Science Commercialization Award from Rutgers University.  ... 
doi:10.1007/s10278-010-9298-1 pmid:20508965 pmcid:PMC3092055 fatcat:2cv3rztsivgixjwasp6bf7spvy

A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI [chapter]

Anant Madabhushi, Michael Feldman, Dimitris Metaxas, Deborah Chute, John Tomaszewski
2003 Lecture Notes in Computer Science  
In this work, we present a new methodology for fully automated segmentation of prostatic adenocarcinoma from high resolution MR by using a novel feature ensemble of 3D texture features.  ...  The automated system was found to be superior in terms of Sensitivity and Positive Predictive Value.  ...  While researchers have proposed Computer Aided Detection (CAD) systems for automatically detecting breast and lung cancers, no automated system exists for detecting prostatic adenocarcinoma in MR.  ... 
doi:10.1007/978-3-540-39899-8_72 fatcat:p75dikufkfaglixbuywsmxfwyy

Front Matter: Volume 9786

2016 Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling  
using a Base 36 numbering system employing both numerals and letters.  ...  Publication of record for individual papers is online in the SPIE Digital Library. Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Current sensing for navigated electrosurgery: proof of concept [9786-69] 9786 1Z Characterization of a phantom setup for breast conserving cancer surgery [9786-70] 9786 20 Image-guided intracranial  ... 
doi:10.1117/12.2240097 dblp:conf/miigp/X16 fatcat:e2sr443rvfa7rcz24tfpgb44gy

Front Matter: Volume 10576

Robert J. Webster, Baowei Fei
2018 Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling  
and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease [10576-32] 10576 16 A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using  ...  models [10576-43] 10576 1H A system for automatic monitoring of surgical instruments and dynamic non-rigid surface deformations in breast cancer surgery [10576-44] 10576 1I Intraoperative deformation  ... 
doi:10.1117/12.2323924 fatcat:hva4ny4ftbe2voqifpbt5wewky

Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge, Camille Kurtz, Christopher Beaulieu, Sandy Napel, Daniel Rubin
2014 IEEE Transactions on Medical Imaging  
The models obtained are steerable, which means that any orientation of the model can be synthesized from linear combinations of the basis filters.  ...  Computational models of VST are learned from image data using high-order steerable Riesz wavelets and support vector machines (SVM).  ...  Acknowledgments This work was supported by the Swiss National Science Foundation (PBGEP2_142283), and the National Cancer Institute, National Institutes of Health (U01-CA-142555 and R01-CA-160251).  ... 
doi:10.1109/tmi.2014.2321347 pmid:24808406 pmcid:PMC4129229 fatcat:y32sv3lkdndjpox6phsi6t6q24

Behavior of Tip-Steerable Needles in Ex Vivo and In Vivo Tissue

A. Majewicz, S. P. Marra, M. G. van Vledder, MingDe Lin, M. A. Choti, D. Y. Song, A. M. Okamura
2012 IEEE Transactions on Biomedical Engineering  
Steerable needles curved more in kidney than in liver and prostate, likely due to differences in tissue properties.  ...  When compared to straight stainless steel needles, steerable needles did not cause a measurable increase in tissue damage and did not exert more force during insertion.  ...  This work was supported by National Institutes of Health grant R01 EB006435 and a National Science Foundation fellowship.  ... 
doi:10.1109/tbme.2012.2204749 pmid:22711767 pmcid:PMC3448818 fatcat:c5yxcf6v2fdizenelgh6ep66wa

A confident scale-space shape representation framework for cell migration detection

2008 Journal of Microscopy  
Automated segmentation of time-lapse images is a method to facilitate the understanding of the intricate biological progression, e.g., cancer cell migration.  ...  the mean shift filtering.  ...  Hong Zhao for providing images used in Fig. 13 .  ... 
doi:10.1111/j.1365-2818.2008.02050.x pmid:18754994 pmcid:PMC2896032 fatcat:fyqf6wktyzgvnl3axtazxwo5t4

Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer

Ajay Basavanhally, Satish Viswanath, Anant Madabhushi, Benjamin Haibe-Kains
2015 PLoS ONE  
histopathology, differentiating high and low grade cancer in breast histopathology, and detecting cancerous metavoxels in prostate magnetic resonance spectroscopy.  ...  We present a framework for comparative evaluation of classifiers using only limited amounts of training data by using random repeated sampling (RRS) in conjunction with a cross-validation sampling strategy  ...  Scott Doyle for providing datasets used in this work. Author Contributions  ... 
doi:10.1371/journal.pone.0117900 pmid:25993029 pmcid:PMC4436385 fatcat:kcr3px3zlzesxbwhqpjyldkmzm
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