Analysis of deep convolutional features for detection of lung nodules in computed tomography (English)
- New search for: Samala, Ravi K.
- New search for: Chan, Heang-Ping
- New search for: Richter, Caleb
- New search for: Hadjiiski, Lubomir
- New search for: Zhou, Chuan
- New search for: Wei, Jun
- New search for: Samala, Ravi K.
- New search for: Chan, Heang-Ping
- New search for: Richter, Caleb
- New search for: Hadjiiski, Lubomir
- New search for: Zhou, Chuan
- New search for: Wei, Jun
In:
Medical Imaging 2019: Computer-Aided Diagnosis
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109500Q-109500Q-6
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2019
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ISBN:
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ISSN:
- Conference paper / Print
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Title:Analysis of deep convolutional features for detection of lung nodules in computed tomography
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Contributors:Samala, Ravi K. ( author ) / Chan, Heang-Ping ( author ) / Richter, Caleb ( author ) / Hadjiiski, Lubomir ( author ) / Zhou, Chuan ( author ) / Wei, Jun ( author )
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Conference:Medical Imaging 2019: Computer-Aided Diagnosis
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Published in:Medical Imaging 2019: Computer-Aided Diagnosis ; 109500Q-109500Q-6Proceedings of SPIE, the International Society for Optical Engineering ; 10950 ; 109500Q-109500Q-6
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Publisher:
- New search for: SPIE
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Publication date:2019-01-01
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Size:109500Q-109500Q-6
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ISBN:
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ISSN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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CT-realistic data augmentation using generative adversarial network for robust lymph node segmentationTang, You-Bao / Oh, Sooyoun / Tang, Yu-Xing / Xiao, Jing / Summers, Ronald M. et al. | 2019
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Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk scoreLi, Lin / Shiradkar, Rakesh / Algohary, Ahmad / Leo, Patrick / Magi-Galluzzi, Cristina / Klein, Eric / Purysko, Andrei / Madabhushi, Anant et al. | 2019
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- 109504B
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Acral melanocytic lesion segmentation with a convolution neural network (U-Net)Jaworek-Korjakowska, Joanna et al. | 2019
- 109504C
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Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannomaLangenhuizen, P. P. J. H. / van Gorp, H. / Zinger, S. / Verheul, H. B. / Leenstra, S. / de With, P. H. N. et al. | 2019
- 109504D
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Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT imagesWang, Tonghe / Lei, Yang / Shafai-Erfani, Ghazal / Jiang, Xiaojun / Dong, Xue / Zhou, Jun / Liu, Tian / Curran, Walter J. / Shu, Hui-Kuo / Yang, Xiaofeng et al. | 2019
- 109504E
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Use of a convolutional neural network for aneurysm identification in digital subtraction angiographyPodgoršak, Alexander R. / Bhurwani, Mohammad Mahdi / Rava, Ryan A. / Chandra, Anusha R. / Ionita, Ciprian N. et al. | 2019
- 109504F
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U-Net based automatic carotid plaque segmentation from 3D ultrasound imagesZhou, Ran / Ma, Wei / Fenster, Aaron / Ding, Mingyue et al. | 2019
- 109504G
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Machine learning for segmenting cells in corneal endothelium imagesKolluru, Chaitanya / Benetz, Beth A. / Joseph, Naomi / Menegay, Harry J. / Lass, Jonathan H. / Wilson, David et al. | 2019
- 109504H
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Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing modelsHan, Songyue / Tian, James / Kelly, Mark / Selvakumaran, Vignesh / Henao, Ricardo / Rubin, Geoffrey D. / Lo, Joseph Y. et al. | 2019
- 109504I
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Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary studyCouto, Mafalda / Gomes-Fonseca, João / Moreira, António H. J. / Henriques-Coelho, Tiago / Fonseca, Jaime C. / Pinho, António C. M. / Correia-Pinto, Jorge / Vilaça, João L. et al. | 2019
- 1095001
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Front Matter: Volume 10950| 2019
- 1095002
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Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptationvan Vugt, Joris / Marchiori, Elena / Mann, Ritse / Gubern-Mérida, Albert / Moriakov, Nikita / Teuwen, Jonas et al. | 2019
- 1095003
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Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transformLee, Juhun / Nishikawa, Robert M. et al. | 2019
- 1095004
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Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic imagesCha, Kenny H. / Petrick, Nicholas / Pezeshk, Aria / Graff, Christian G. / Sharma, Diksha / Badal, Andreu / Badano, Aldo / Sahiner, Berkman et al. | 2019
- 1095005
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Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategyClancy, Kadie / Zhang, Lei / Mohamed, Aly / Aboutalib, Sarah / Berg, Wendie / Wu, Shandong et al. | 2019
- 1095006
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Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancerAnderson, Rachel / Li, Hui / Ji, Yu / Liu, Peifang / Giger, Maryellen L. et al. | 2019
- 1095007
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Registration based detection and quantification of intracranial aneurysm growthBizjak, Žiga / Jerman, Tim / Likar, Boštjan / Pernuš, Franjo / Chien, Aichi / Špiclin, Žiga et al. | 2019
- 1095008
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Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocolBento , M. / Souza, R. / Salluzzi, M. / Frayne, R. et al. | 2019
- 1095009
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Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-NetGuo, Zhe / Guo, Ning / Gong, Kuang / Li, Quanzheng et al. | 2019
- 1095010
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Automatic multi-organ segmentation in thorax CT images using U-Net-GANLei, Yang / Liu, Yingzi / Dong, Xue / Tian, Sibo / Wang, Tonghe / Jiang, Xiaojun / Higgins, Kristin / Beitler, Jonathan J. / Yu, David S. / Liu, Tian et al. | 2019
- 1095011
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Polyp segmentation and classification using predicted depth from monocular endoscopyMahmood, Faisal / Yang, Ziyun / Chen, Richard / Borders, Daniel / Xu, Wenhao / Durr, Nicholas J. et al. | 2019
- 1095012
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Computer-aided classification of colorectal polyps using blue-light and linked-color imagingScheeve, Thom / Schreuder, Ramon-Michel / van der Sommen, Fons / IJspeert, Joep E. G. / Dekker, Evelien / Schoon, Erik J. / De With, Peter H. N. et al. | 2019
- 1095013
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Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonographyUemura, Tomoki / Näppi, Janne J. / Lu, Huimin / Kim, Hyoungseop / Tachibana, Rie / Hironaka, Toru / Yoshida, Hiroyuki et al. | 2019
- 1095014
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A local geometrical metric-based model for polyp classificationCao, Weiguo / Pomeroy, Marc J. / Pickhardt, Perry J. / Barish, Matthew A. / Stanly III, Samuel / Liang, Zhengrong et al. | 2019
- 1095015
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Polyp-size classification with RGB-D features for colonoscopyItoh, Hayato / Roth, Holger R. / Mori, Yuichi / Misawa, Masashi / Oda, Masahiro / Kudo, Shin-ei / Mori, Kensaku et al. | 2019
- 1095016
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Handling label noise through model confidence and uncertainty: application to chest radiograph classificationCalli, Erdi / Sogancioglu, Ecem / Scholten, Ernst Th. / Murphy, Keelin / van Ginneken, Bram et al. | 2019
- 1095017
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Classification of chest CT using case-level weak supervisionTang, Ruixiang / Islam Tushar, Fakrul / Han, Songyue / Hou, Rui / Rubin, Geoffrey D. / Lo, Joseph Y. et al. | 2019
- 1095018
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Deep adversarial one-class learning for normal and abnormal chest radiograph classificationTang, Yu-Xing / Tang, You-Bao / Han, Mei / Xiao, Jing / Summers, Ronald M. et al. | 2019
- 1095019
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Image biomarkers for quantitative analysis of idiopathic interstitial pneumoniaKim, Young-Wouk / Tarando, Sebastián Roberto / Brillet, Pierre-Yves / Fetita, Catalin et al. | 2019
- 1095020
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Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embeddingSamala, Ravi K. / Chan, Heang-Ping / Hadjiiski, Lubomir / Paramagul, Chintana / Helvie, Mark A. / Neal, Colleen H. et al. | 2019
- 1095021
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Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritisRibera, Nina Tubau / de Dumast, Priscille / Yatabe, Marilia / Ruellas, Antonio / Ioshida, Marcos / Paniagua, Beatriz / Styner, Martin / Gonçalves, João Roberto / Bianchi, Jonas / Cevidanes, Lucia et al. | 2019
- 1095022
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Automatic detection and localization of bone erosion in hand HR-pQCTRen, Jintao / Moaddel H., Arash / Hauge, Ellen M. / Keller, Kresten K. / Jensen, Rasmus K. / Lauze, François et al. | 2019
- 1095023
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Spinal vertebrae segmentation and localization by transfer learningZhao, Jiashi / Jiang, Zhengang / Mori, Kensaku / Zhang, Liyuan / He, Wei / Shi, Weili / Miao, Yu / Yan, Fei / He, Fei et al. | 2019
- 1095024
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Ensembles of sparse classifiers for osteoporosis characterization in digital radiographsZheng, Keni / Jennane, Rachid / Makrogiannis, Sokratis et al. | 2019
- 1095025
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Multiclass vertebral fracture classification using ensemble probability SVM with multi-feature selectionZhang, Liyuan / Zhao, Jiashi / Yang, Huamin / Shi, Weili / Miao, Yu / He, Fei / He, Wei / Li, Yanfang / Zhang, Ke / Mori, Kensaku et al. | 2019
- 1095026
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Cranial localization in 2D cranial ultrasound images using deep neural networksTabrizi, Pooneh R. / Mansoor, Awais / Obeid, Rawad / Penn, Anna A. / Linguraru, Marius George et al. | 2019
- 1095027
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Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networksRezaei, Mina / Yang, Haojin / Meinel, Christoph et al. | 2019
- 1095028
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Spatial and depth weighted neural network for diagnosis of Alzheimer’s diseaseLi, Qingfeng / Huo, Quan / Xing, Xiaodan / Zhan, Yiqiang / Zhou, Xiang Sean / Shi, Feng et al. | 2019
- 1095029
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Study on discrimination of Alzheimer’s disease states using an ensemble neural network’s modelEom, Junsik / Jang, Hanbyol / Kim, Sewon / Jang, Jinseong / Hwang, Dosik et al. | 2019
- 1095030
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Longitudinal matching of in vivo adaptive optics images of fluorescent cells in the human eye using stochastically consistent superpixelsLiu, Jianfei / Jung, HaeWon / Liu, Tao / Tam, Johnny et al. | 2019
- 1095031
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Computer-based detection of age-related macular degeneration and glaucoma using retinal images and clinical dataJoshi, Vinayak / Wigdahl, Jeffrey / Benson, Jeremy / Nemeth, Sheila / Soliz, Peter et al. | 2019
- 1095032
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Fully-automated segmentation of optic disk from retinal images using deep learning techniquesZabihollahy, F. / Ukwatta, E. et al. | 2019
- 1095034
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Deep learning-based detection of anthropometric landmarks in 3D infants head modelsTorres, Helena R. / Oliveira, Bruno / Veloso, Fernando / Ruediger, Mario / Burkhardt, Wolfram / Moreira, António / Dias, Nuno / Morais, Pedro / Fonseca, Jaime C. / Vilaça, João L. et al. | 2019
- 1095035
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Quantitative evaluation of local head malformations from 3 dimensional photography: application to craniosynostosisTu, Liyun / Porras, Antonio R. / Oh, Albert / Lepore, Natasha / Buck, Graham C. / Tsering, Deki / Enquobahrie, Andinet / Keating, Robert / Rogers, Gary F. / Linguraru, Marius George et al. | 2019
- 1095036
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Predicting resection volumes within the nasal cavity to improve patients breathingBerger, Manuel / Pillei, Martin / Mehrle, Andreas / Recheis, Wolfgang / Kral, Florian / Kraxner, Michael / Freysinger, Wolfgang et al. | 2019
- 1095038
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Automated scoring of aortic calcification in vertebral fracture assessment imagesChaplin, Luke / Cootes, Tim et al. | 2019
- 1095039
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Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learningFuhrman, Jordan D. / Crosby, Jennie / Yip, Rowena / Henschke, Claudia I. / Yankelevitz, David F. / Giger, Maryellen L. et al. | 2019
- 1095040
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Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancerWang, Shou / Chen, Xi / Liu, Zhenyu / Wu, Qingxia / Zhu, Yongbei / Wang, Meiyun / Tian, Jie et al. | 2019
- 1095041
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Temporal mammographic registration for evaluation of architecture changes in cancer risk assessmentMendel, Kayla / Li, Hui / Tayob, Nabihah / El-Zein, Randa / Bedrosian, Isabelle / Giger, Maryellen et al. | 2019
- 1095042
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PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRIKhalvati, Farzad / Zhang, Yucheng / Le, Phuong H. U. / Gujrathi, Isha / Haider, Masoom A. et al. | 2019
- 1095043
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Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imagingRathore, Saima / Akbari, Hamed / Bakas, Spyridon / Pisapia, Jared / Da, Xiao / O’Rourke, Donald M. / Davatzikos, Christos et al. | 2019
- 1095044
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Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young womenLi, Qinmei / Dormer, James / Daryani, Priyanka / Chen, Deji / Zhang, Zhenfeng / Fei, Baowei et al. | 2019
- 1095046
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General purpose radiomics for multi-modal clinical researchWels, Michael G. / Lades, Félix / Muehlberg, Alexander / Suehling, Michael et al. | 2019
- 1095047
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Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective casesZhou, Chuan / Dong, Qian / Chan, Heang-Ping / Campagnaro, Erica L. / Wei, Jun / Hadjiiski, Lubomir M. et al. | 2019
- 1095048
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Machine-learning-based classification of Glioblastoma using MRI-based radiomic featuresCui, Ge / Jeong, Jiwoong Jason / Lei, Yang / Wang, Tonghe / Liu, Tian / Curran, Walter J. / Mao, Hui / Yang, Xiaofeng et al. | 2019
- 1095049
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Prediction of low-grade glioma progression using MR imagingShboul, Zeina A. / Iftekharuddin, Khan M. et al. | 2019