Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images (Englisch)
- Neue Suche nach: Oda, Hirohisa
- Neue Suche nach: Roth, Holger R.
- Neue Suche nach: Bhatia, Kanwal K.
- Neue Suche nach: Oda, Masahiro
- Neue Suche nach: Kitasaka, Takayuki
- Neue Suche nach: Iwano, Shingo
- Neue Suche nach: Homma, Hirotoshi
- Neue Suche nach: Takabatake, Hirotsugu
- Neue Suche nach: Mori, Masaki
- Neue Suche nach: Natori, Hiroshi
- Neue Suche nach: Schnabel, Julia A.
- Neue Suche nach: Mori, Kensaku
- Neue Suche nach: Oda, Hirohisa
- Neue Suche nach: Roth, Holger R.
- Neue Suche nach: Bhatia, Kanwal K.
- Neue Suche nach: Oda, Masahiro
- Neue Suche nach: Kitasaka, Takayuki
- Neue Suche nach: Iwano, Shingo
- Neue Suche nach: Homma, Hirotoshi
- Neue Suche nach: Takabatake, Hirotsugu
- Neue Suche nach: Mori, Masaki
- Neue Suche nach: Natori, Hiroshi
- Neue Suche nach: Schnabel, Julia A.
- Neue Suche nach: Mori, Kensaku
In:
Proc. SPIE
;
10575
; 1057502
;
2018
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ISBN:
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ISSN:
- Aufsatz (Konferenz) / Elektronische Ressource
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Titel:Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images
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Beteiligte:Oda, Hirohisa ( Autor:in ) / Roth, Holger R. ( Autor:in ) / Bhatia, Kanwal K. ( Autor:in ) / Oda, Masahiro ( Autor:in ) / Kitasaka, Takayuki ( Autor:in ) / Iwano, Shingo ( Autor:in ) / Homma, Hirotoshi ( Autor:in ) / Takabatake, Hirotsugu ( Autor:in ) / Mori, Masaki ( Autor:in ) / Natori, Hiroshi ( Autor:in )
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Kongress:Medical Imaging 2018: Computer-Aided Diagnosis ; 2018 ; Houston,Texas,United States
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Erschienen in:Proc. SPIE ; 10575 ; 1057502
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Verlag:
- Neue Suche nach: SPIE
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Erscheinungsdatum:27.02.2018
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz (Konferenz)
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Format:Elektronische Ressource
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Sprache:Englisch
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Datenquelle:
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Stability of deep features across CT scanners and field of view using a physical phantomPaul, Rahul / Shafiq-ul-Hassan, Muhammad / Moros, Eduardo G. / Gillies, Robert J. / Hall, Lawrence O. / Goldgof, Dmitry B. et al. | 2018
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Temporal assessment of radiomic features on clinical mammography in a high-risk populationMendel, Kayla R. / Li, Hui / Lan, Li / Chan, Chun-Wai / King, Lauren M. / Tayob, Nabihah / Whitman, Gary / El-Zein, Randa / Bedrosian, Isabelle / Giger, Maryellen L. et al. | 2018
- 105753R
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Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseasesNasirudina, Radin A. / Näppi, Janne J. / Watari, Chinatsu / Matsuhiro, Mikio / Hironaka, Toru / Kido, Shoji / Yoshida, Hiroyuki et al. | 2018
- 105753S
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Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patientsMu, Wei / Qi, Jin / Lu, Hong / Schabath, Matthew / Balagurunathan, Yoganand / Tunali, Ilke / Gillies, Robert James et al. | 2018
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Classification of brain tumors using texture based analysis of T1-post contrast MR scans in a preclinical modelTang, Tien T. / Zawaski, Janice A. / Francis, Kathleen N. / Qutub, Amina A. / Gaber, M. Waleed et al. | 2018
- 105753U
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Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot studyDrukker, Karen / Anderson, Rachel / Edwards, Alexandra / Papaioannou, John / Pineda, Fred / Abe, Hiroyuke / Karzcmar, Gregory / Giger, Maryellen L. et al. | 2018
- 105753V
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Reduction in training time of a deep learning model in detection of lesions in CTMakkinejad, Nazanin / Tajbakhsh, Nima / Zarshenas, Amin / Khokhar, Ashfaq / Suzuki, Kenji et al. | 2018
- 105753W
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The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditionsEmaminejad, Nastaran / Wahi-Anwar, Muhammad / Hoffman, John / Kim, Grace H. / Brown, Matthew S. / McNitt-Gray, Michael et al. | 2018
- 1057501
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Front Matter: Volume 10575| 2018
- 1057502
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Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT imagesOda, Hirohisa / Roth, Holger R. / Bhatia, Kanwal K. / Oda, Masahiro / Kitasaka, Takayuki / Iwano, Shingo / Homma, Hirotoshi / Takabatake, Hirotsugu / Mori, Masaki / Natori, Hiroshi et al. | 2018
- 1057503
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Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system designDammak, Salma / Palma, David / Mattonen, Sarah / Senan, Suresh / Ward, Aaron D. et al. | 2018
- 1057504
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Pneumothorax detection in chest radiographs using convolutional neural networksBlumenfeld, Aviel / Konen, Eli / Greenspan, Hayit et al. | 2018
- 1057505
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Boosting CNN performance for lung texture classification using connected filteringTarando, Sebastián Roberto / Fetita, Catalin / Kim, Young-Wouk / Cho, Hyoun / Brillet, Pierre-Yves et al. | 2018
- 1057506
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Automatic liver volume segmentation and fibrosis classificationBal, Evgeny / Klang, Eyal / Amitai, Michal / Greenspan, Hayit et al. | 2018
- 1057507
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Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluationSaha, Ashirbani / Harowicz, Michael R. / Grimm, Lars J. / Kim, Connie E. / Ghate, Sujata V. / Walsh, Ruth / Mazurowski, Maciej A. et al. | 2018
- 1057508
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Detecting mammographically occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysisLee, Juhun / Nishikawa, Robert M. / Rohde, Gustavo K. et al. | 2018
- 1057509
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Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniquesRathore, Saima / Bakas, Spyridon / Akbari, Hamed / Shukla, Gaurav / Rozycki, Martin / Davatzikos, Christos et al. | 2018
- 1057511
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Automated segmentation of geographic atrophy using deep convolutional neural networksHu, Zhihong / Wang, Ziyuan / Sadda, SriniVas R. et al. | 2018
- 1057512
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An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphoneAskarian, Behnam / Tabei, Fatemehsadat / Askarian, Amin / Chong, Jo Woon et al. | 2018
- 1057513
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Detection of protruding lesion in wireless capsule endoscopy videos of small intestineWang, Chengliang / Luo, Zhuo / Liu, Xiaoqi / Bai, Jianying / Liao, Guobin et al. | 2018
- 1057514
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Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapyTang, Zhenchao / Liu, Zhenyu / Zhang, Xiaoyan / Shi, Yanjie / Wang, Shou / Fang, Mengjie / Sun, Yingshi / Dong, Enqing / Tian, Jie et al. | 2018
- 1057515
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Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRIAlfano, R. / Soetemans, D. / Bauman, G. S. / Gibson, E. / Gaed, M. / Moussa, M. / Gomez, J. A. / Chin, J. L. / Pautler, S. / Ward, A. D. et al. | 2018
- 1057516
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Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosisItoh, Hayato / Mori, Yuichi / Misawa, Masashi / Oda, Masahiro / Kudo, Shin-ei / Mori, Kensaku et al. | 2018
- 1057517
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A new fractional order derivative based active contour model for colon wall segmentationChen, Bo / Li, Lihong C. / Wang, Huafeng / Wei, Xinzhou / Huang, Shan / Chen, Wensheng / Liang, Zhengrong et al. | 2018
- 1057518
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Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomyNäppi, Janne J. / Hironaka, Toru / Yoshida, Hiroyuki et al. | 2018
- 1057519
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Comparison of different deep learning approaches for parotid gland segmentation from CT imagesHänsch, Annika / Schwier, Michael / Gass, Tobias / Morgas, Tomasz / Haas, Benjamin / Klein, Jan / Hahn, Horst K. et al. | 2018
- 1057520
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Generalization error analysis: deep convolutional neural network in mammographyRichter, Caleb D. / Samala, Ravi K. / Chan, Heang-Ping / Hadjiiski, Lubomir / Cha, Kenny et al. | 2018
- 1057521
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Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesisSamala, Ravi K. / Chan, Heang-Ping / Hadjiiski, Lubomir / Helvie, Mark A. / Richter, Caleb / Cha, Kenny et al. | 2018
- 1057522
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ICADx: interpretable computer aided diagnosis of breast massesKim, Seong Tae / Lee, Hakmin / Kim, Hak Gu / Ro, Yong Man et al. | 2018
- 1057523
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Do pre-trained deep learning models improve computer-aided classification of digital mammograms?Aboutalib, Sarah S. / Mohamed, Aly A. / Zuley, Margarita L. / Berg, Wendie A. / Luo, Yahong / Wu, Shandong et al. | 2018
- 1057524
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Fully automated gynecomastia quantification from low-dose chest CTLiu, Shuang / Sonnenblick, Emily B. / Azour, Lea / Yankelevitz, David F. / Henschke, Claudia I. / Reeves, Anthony P. et al. | 2018
- 1057525
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Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regressionZhang, Jun / Cain, Elizabeth Hope / Saha, Ashirbani / Zhu, Zhe / Mazurowski, Maciej A. et al. | 2018
- 1057526
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Detecting PHG frames in wireless capsule endoscopy video by integrating rough global dominate-color with fine local texture featuresLiu, Xiaoqi / Wang, Chengliang / Bai, Jianying / Liao, Guobin et al. | 2018
- 1057527
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Automatic blood vessel based-liver segmentation using the portal phase abdominal CTMaklad, Ahmed S. / Matsuhiro, Mikio / Suzuki, Hidenobu / Kawata, Yoshiki / Niki, Noboru / Shimada, Mitsuo / Iinuma, Gen et al. | 2018
- 1057528
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Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinomaMidya, Abhishek / Chakraborty, Jayasree / Pak, Linda M. / Zheng, Jian / Jarnagin, William R. / Do, Richard K. G. / Simpson, Amber L. et al. | 2018
- 1057529
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Computer-aided detection of bladder wall thickening in CT urography (CTU)Cha, Kenny H. / Hadjiiski, Lubomir M. / Chan, Heang-Ping / Caoili, Elaine M. / Cohan, Richard H. / Weizer, Alon Z. / Gordon, Marshall N. / Samala, Ravi K. et al. | 2018
- 1057530
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Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patchesDormer, James D. / Halicek, Martin / Ma, Ling / Reilly, Carolyn M. / Schreibmann, Eduard / Fei, Baowei et al. | 2018
- 1057531
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Lesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosisLevenkova, Anastasia / Sowmya, Arcot / Kalloniatis, Michael / Ly, Angelica / Ho, Arthur et al. | 2018
- 1057533
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3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxelsHuang, Shan / Liu, Xiabi / Han, Guanghui / Zhao, Xinming / Zhao, Yanfeng / Zhou, Chunwu et al. | 2018
- 1057534
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Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel informationMabu, Shingo / Kido, Shoji / Hashimoto, Noriaki / Hirano, Yasushi / Kuremoto, Takashi et al. | 2018
- 1057535
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Localization of lung fields in HRCT images using a deep convolution neural networkKumar, Abhishek / Agarwala, Sunita / Dhara, Ashis Kumar / Mukhopadhyay, Sudipta / Nandi, Debashis / Garg, Mandeep / Khandelwal, Niranjan / Kalra, Naveen et al. | 2018
- 1057536
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Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): consolidation, ground-glass opacity (GGO), and normal opacityHashimoto, Noriaki / Suzuki, Kenji / Liu, Junchi / Hirano, Yasushi / MacMahon, Heber / Kido, Shoji et al. | 2018
- 1057537
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A deep-learning based automatic pulmonary nodule detection systemZhao, Yiyuan / Zhao, Liang / Yan, Zhennan / Wolf, Matthias / Zhan, Yiqiang et al. | 2018
- 1057538
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An evaluation of consensus techniques for diagnostic interpretationSauter, Jake N. / LaBarre, Victoria M. / Furst, Jacob D. / Raicu, Daniela S. et al. | 2018
- 1057539
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Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selectionJenuwine, Natalia M. / Mahesh, Sunny N. / Furst, Jacob D. / Raicu, Daniela S. et al. | 2018