Case Reports in Cancer Imaging and Image-directed Interventions : 2022 PDF Download
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Author: Marco Ravanelli
Publisher: Frontiers Media SA
ISBN: 2832540635
Category : Medical
Languages : en
Pages : 71
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Book Description
This Research Topic aims to collect all the Case Reports submitted to the Cancer Imaging and Image-directed Interventions section. All the Case Reports submitted to this collection will be personally assessed by a senior Associate Editor before the beginning of the peer-review process. Please make sure your article adheres to the following guidelines before submitting it.
Author: Marco Ravanelli
Publisher: Frontiers Media SA
ISBN: 2832540635
Category : Medical
Languages : en
Pages : 71
Get Book Here
Book Description
This Research Topic aims to collect all the Case Reports submitted to the Cancer Imaging and Image-directed Interventions section. All the Case Reports submitted to this collection will be personally assessed by a senior Associate Editor before the beginning of the peer-review process. Please make sure your article adheres to the following guidelines before submitting it.
Author: Samata Kakkad
Publisher: Frontiers Media SA
ISBN: 2832518443
Category : Medical
Languages : en
Pages : 172
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Book Description
Author: Omar Sultan Al-Kadi
Publisher: Frontiers Media SA
ISBN: 2832520618
Category : Medical
Languages : en
Pages : 200
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Book Description
Author: Samata Kakkad
Publisher: Frontiers Media SA
ISBN: 2832542506
Category : Medical
Languages : en
Pages : 141
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Book Description
We are delighted to present the inaugural Frontiers in Oncology "Women in Cancer Imaging and Image-directed Interventions” series of article collections. At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.
Author: Bahram Mohajer
Publisher: Frontiers Media SA
ISBN: 2832538355
Category : Medical
Languages : en
Pages : 215
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Book Description
Frontiers in Oncology is delighted to present the Methods in series of article collections. Methods in Cancer Imaging and Image-directed Interventions will publish high-quality methodical studies on key topics in the field. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. The Methods in Cancer Imaging and Image-directed Interventions collection aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Cancer Imaging and Image-directed Interventions. Review Articles or Opinion Articles on methodologies or applications including the advantages and limitations of each are welcome. This Research Topic includes technologies and up-to-date methods which help aim to help advance science.
Author: Zaver Bhujwalla
Publisher: Frontiers Media SA
ISBN: 2832515738
Category : Medical
Languages : en
Pages : 124
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Book Description
Author: Alla Reznik
Publisher: Frontiers Media SA
ISBN: 2832539467
Category : Medical
Languages : en
Pages : 236
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Book Description
Author: Guang Yang
Publisher: Frontiers Media SA
ISBN: 2832521630
Category : Medical
Languages : en
Pages : 107
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Book Description
Author: Jie Yu
Publisher: Frontiers Media SA
ISBN: 2889745619
Category : Medical
Languages : en
Pages : 167
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Book Description
Author: Min Tang
Publisher: Frontiers Media SA
ISBN: 2832555012
Category : Science
Languages : en
Pages : 324
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Book Description
Our second Research Topic in this series, Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, Volume II (https://fro.ntiers.in/14361) has over 8 accepted articles and further manuscripts currently under review. Due to the continued success of these Research Topics and the interest in the subject, we will launch a third volume on the same topic. Inferring cancer tissue-of-origin and molecular classification are two critical problems in personalized cancer therapy. It is known that there are about 5% cancers of unknown primary (CUP) site. These kinds of patients are under empirical chemotherapy, which leads to a very low survival rate. Thus, it is important to infer cancer tissue-of-origin. However, experimental methods usually fail to identify the exact tissue-of-origin even after the death of a patient, which provides a need for computational methods especially in the era of big biomedical data. Based on the finding that gene expressions of metastasis cancer cells are more similar to those of original tissue than metastasis tissue, there have been a few computational methods developed in this area. However, the accuracy of the methods is yet to be improved to assure a clinical usage. In addition to CUP, inferring cancer tissue-of-origin is also important in avoiding misdiagnosis even if the cancer origin is known.
