Multi-Modality Imaging and Multi-Omics Approach of Cancers with Machine Learning/Deep Learning
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 37299
Special Issue Editors
Interests: medical imaging; machine learning; deep learning; cancer diagnosis; diagnostic radiology
Special Issues, Collections and Topics in MDPI journals
Interests: game theory; network science; artificial intelligence; machine learning; social dynamics; epidemic spreading
Special Issue Information
Dear Colleagues,
This Special Issue mainly focuses on the application of machine learning/deep learning to multi-modality images and multi-omics data of cancer. We welcome original papers and review papers related with the topics listed below. Although this Special Issue focuses on papers of multi-modality imaging and multi-omics approaches, those of single-modality images or single-type omics data are also welcomed.
Research Topics:
- Cutting-edge methodologies/algorithms of machine learning/deep learning for multi-modality images and/or multi-omics data;
- Exploratory research on the relationship between multi-modality images and/or multi-omics data using machine learning/deep learning;
- Clinical applications of machine learning/deep learning to multi-modality images and/or multi-omics data;
- Open-source software of machine learning/deep learning which are used for cancer diagnosis and treatment;
- Open data of multi-modality images and/or multi-omics data which are useful for the development and validation of machine learning/deep learning;
- Reproducibility/validation study for open-source software of machine learning/deep learning used for cancer diagnosis and treatment.
Dr. Mizuho Nishio
Dr. Alessandro Di Stefano
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- deep learning
- cancer diagnosis
- radiomics
- digital pathology
- genomics
- proteomics
- metabolomics