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Automated Labeling of Screening Mammograms with Arterial Calcifications.

, , , и . Digital Mammography / IWDM, том 8539 из Lecture Notes in Computer Science, стр. 589-596. Springer, (2014)

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Rolf Jürrens

Astrid Jürres

Astrid Jürres

Dirk Jansen

Temperaturkorrektur von mit dem Falling-Weight-Deflectometer gemessenen Deflexionen auf Asphaltbefestigungen. Uni Duisburg-Essen, (2009)

Tsai-Yu Jansen

Einfluss der Konversion laparoskopischer Operationen auf Tumorwachstum, hepatische Metastasierung und Tumorangiogenese. Uni Heidelberg, (2010)
 

Другие публикации лиц с тем же именем

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?, , , , и . IWBI, том 10718 из SPIE Proceedings, стр. 1071803. SPIE, (2018)Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization., , , , , , , и . IEEE Trans. Med. Imaging, 37 (8): 1857-1864 (2018)Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks., , , , , и . Digital Mammography / IWDM, том 9699 из Lecture Notes in Computer Science, стр. 35-42. Springer, (2016)Mammogram denoising to improve the calcification detection performance of convolutional nets., , , , , , , , и . IWBI, том 10718 из SPIE Proceedings, стр. 107180W. SPIE, (2018)Automated Labeling of Screening Mammograms with Arterial Calcifications., , , и . Digital Mammography / IWDM, том 8539 из Lecture Notes in Computer Science, стр. 589-596. Springer, (2014)LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms., , , , , и . Digital Mammography / IWDM, том 9699 из Lecture Notes in Computer Science, стр. 27-34. Springer, (2016)Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets., , , , , , , , и . ICIAP (2), том 10485 из Lecture Notes in Computer Science, стр. 288-298. Springer, (2017)Conditional random field modelling of interactions between findings in mammography., , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101341E. SPIE, (2017)The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks., , , , , , и . CBMS, стр. 207-212. IEEE Computer Society, (2017)A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography., , , , , , , и . Digital Mammography / IWDM, том 9699 из Lecture Notes in Computer Science, стр. 51-56. Springer, (2016)