Novel artificial intelligent transformer U-NET for better identification and management of prostate cancer-Reference-Cited by-同舟云学术

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Novel artificial intelligent transformer U-NET for better identification and management of prostate cancer

Published:2022-11-09 Issue: Volume: Page:
ISSN:0300-8177
Container-title:Molecular and Cellular Biochemistry
language:en
Short-container-title:Mol Cell Biochem

Author:

Singla Danush,Cimen Furkan,Narasimhulu Chandrakala Aluganti

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Clinical Biochemistry,Molecular Biology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11010-022-04600-3.pdf

Reference24 articles.

1. Steinhubl SR, Muse ED, Topol EJ (2015) The emerging field of mobile health. Sci Transl Med. https://doi.org/10.1126/scitranslmed.aaa3487

2. Orth M, Averina M, Chatzipanagiotou S, Faure G, Haushofer A, Kusec V, Machado A, Misbah SA, Oosterhuis W, Pulkki K, Twomey PJ, Wieland E (2019) Opinion: redefining the role of the physician in laboratory medicine in the context of emerging technologies, personalised medicine and patient autonomy (‘4P medicine’). J Clin Pathol 72:191–197. https://doi.org/10.1136/jclinpath-2017-204734

3. Hamet P, Tremblay J (2017) Artificial intelligence in medicine. Metabolism 69:S36–S40. https://doi.org/10.1016/j.metabol.2017.01.011

4. Briganti G, Le Moine O (2020) Artificial intelligence in medicine: today and tomorrow. Front Med (Lausanne) 7:27. https://doi.org/10.3389/fmed.2020.00027

5. Krizhevsky A, Sutskever I, Hinton GE (2017) ImageNet classification with deep convolutional neural networks. Commun ACM 60:84–90. https://doi.org/10.1145/3065386

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1. Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature;Cogent Engineering;2024-07-21

2. A survey of artificial intelligence/machine learning-based trends for prostate cancer analysis;Network Modeling Analysis in Health Informatics and Bioinformatics;2024-07-17

3. Application of Machine Learning and Deep Learning Models in Prostate Cancer Diagnosis Using Medical Images: A Systematic Review;Analytics;2023-09-19

4. Automatic three-dimensional nasal and pharyngeal airway subregions identification via Vision Transformer;Journal of Dentistry;2023-09

5. SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model;IEEE Access;2023

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