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J. Imaging
Volume 10
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10.3390/jimaging10020035
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Correction to J. Imaging 2023, 9(12), 280.
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Correction

Correction: Bolocan et al. Convolutional Neural Network Model for Segmentation and Classification of Clear Cell Renal Cell Carcinoma Based on Multiphase CT Images. J. Imaging 2023, 9, 280

by
Vlad-Octavian Bolocan
1,2,
Mihaela Secareanu
2,
Elena Sava
2,
Cosmin Medar
1,2,
Loredana Sabina Cornelia Manolescu
1,*,
Alexandru-Ștefan Cătălin Rașcu
3,4,
Maria Glencora Costache
1,
George Daniel Radavoi
3,4,
Robert-Andrei Dobran
5 and
Viorel Jinga
3,4,6
1
Department of Fundamental Sciences, Faculty of Midwifery and Nursing, University of Medicine and Pharmacy “Carol Davila”, 050474 Bucharest, Romania
2
Department of Clinical Laboratory of Radiology and Medical Imaging, Clinical Hospital “Prof. Dr. Theodor Burghele”, 050664 Bucharest, Romania
3
Department of Urology, Clinical Hospital “Prof. Dr. Theodor Burghele”, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, 050474 Bucharest, Romania
4
Department of Urology, Clinical Hospital “Prof. Dr. Theodor Burghele”, 050664 Bucharest, Romania
5
Software Imagination & Vision (Simavi), 013685 Bucharest, Romania
6
Medical Sciences Section, Academy of Romanian Scientists, 050085 Bucharest, Romania
*
Author to whom correspondence should be addressed.
J. Imaging 2024, 10(2), 35; https://doi.org/10.3390/jimaging10020035
Submission received: 17 January 2024 / Accepted: 19 January 2024 / Published: 29 January 2024
Versions Notes
In the original publication [1], references “[30–37]” were cited by mistake. The citations have now been deleted in the References section.
In the last paragraph of the Discussion, the citation should be updated as follows:
“Lastly, yet another aspect that required careful consideration was the possible bias of the human specialists performing the segmentation of the areas of interest. In this regard, we have devised a system meant to minimize the potential issues: three individuals—comprising a radiology resident (V.O.B.), a radiology fellow (G.M.C.), and a radiology attending physician (C.M.)—leveraged their cumulative 25 years of experience in renal cell carcinoma imaging to manually segment the dataset using 3D Slicer [29]”.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Bolocan, V.-O.; Secareanu, M.; Sava, E.; Medar, C.; Manolescu, L.S.C.; Cătălin Rașcu, A.-Ș.; Costache, M.G.; Radavoi, G.D.; Dobran, R.-A.; Jinga, V. Convolutional Neural Network Model for Segmentation and Classification of Clear Cell Renal Cell Carcinoma Based on Multiphase CT Images. J. Imaging 2023, 9, 280. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Bolocan, V.-O.; Secareanu, M.; Sava, E.; Medar, C.; Manolescu, L.S.C.; Rașcu, A.-Ș.C.; Costache, M.G.; Radavoi, G.D.; Dobran, R.-A.; Jinga, V. Correction: Bolocan et al. Convolutional Neural Network Model for Segmentation and Classification of Clear Cell Renal Cell Carcinoma Based on Multiphase CT Images. J. Imaging 2023, 9, 280. J. Imaging 2024, 10, 35. https://doi.org/10.3390/jimaging10020035

AMA Style

Bolocan V-O, Secareanu M, Sava E, Medar C, Manolescu LSC, Rașcu A-ȘC, Costache MG, Radavoi GD, Dobran R-A, Jinga V. Correction: Bolocan et al. Convolutional Neural Network Model for Segmentation and Classification of Clear Cell Renal Cell Carcinoma Based on Multiphase CT Images. J. Imaging 2023, 9, 280. Journal of Imaging. 2024; 10(2):35. https://doi.org/10.3390/jimaging10020035

Chicago/Turabian Style

Bolocan, Vlad-Octavian, Mihaela Secareanu, Elena Sava, Cosmin Medar, Loredana Sabina Cornelia Manolescu, Alexandru-Ștefan Cătălin Rașcu, Maria Glencora Costache, George Daniel Radavoi, Robert-Andrei Dobran, and Viorel Jinga. 2024. "Correction: Bolocan et al. Convolutional Neural Network Model for Segmentation and Classification of Clear Cell Renal Cell Carcinoma Based on Multiphase CT Images. J. Imaging 2023, 9, 280" Journal of Imaging 10, no. 2: 35. https://doi.org/10.3390/jimaging10020035

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