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Can I read Radiomics and Radiogenomics in Neuro-oncology Volume 11991 (First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings) on EtoBox?

Radiomics and Radiogenomics in Neuro-oncology Volume 11991 (First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings) by Syed Muhammad Anwar; Tooba Altaf; Khola Rafique; Harish RaviPrakash; Hassan Mohy-ud-Din; Ulas Bagci is a Computer Science article available to read on EtoBox.

What is Radiomics and Radiogenomics in Neuro-oncology Volume 11991 (First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings) about?

Artificial intelligence (AI) enabled radiomics has evolved immensely especially in the field of oncology. Radiomics provide assistance in diagnosis of cancer, planning of treatment strategy, and prediction of survival. Radiomics in neuro-oncology has progressed significantly in the recent past. Deep learning has outperformed conventional machine learning methods in most image-based applications. Convolutional neural networks (CNNs) have seen some popularity in radiomics, since they do not require hand-crafted features and can automatically extract features during the learning process. In this regard, it is observed that CNN based radiomics could provide state-of-the-art results in neuro-oncology, similar to the recent success of such methods in a wide spectrum of medical image analysis applications. Herein we present a review of the most recent best practices and establish the future trends for AI enabled radiomics in neuro-oncology.

Who reads Radiomics and Radiogenomics in Neuro-oncology Volume 11991 (First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings)?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Syed Muhammad Anwar; Tooba Altaf; Khola Rafique; Harish RaviPrakash; Hassan Mohy-ud-Din; Ulas Bagci
Publisher
Springer International Publishing : Imprint: Springer
Published
2020
Language
EN
ISBN
9783030401245
Field
Computer Science (Physical Sciences)

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