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Diagnosis of Solid and Hematological Tumours in the Era of Artificial Intelligence (AI)

Special Issue Information

Dear Colleagues,

In recent years the diagnosis of solid and hematological neoplasms has begun to be invested by a renewed enthusiasm and desire for research towards the use of technology in a field that is difficult in itself, such as human neoplasms. The spread of ever more powerful instruments has made it possible to transform large amounts of data into information flows that could be the basis for the development and training of Artificial Intelligence algorithms. In this Special Issue we are confronted on a very current terrain and we invite colleagues from different disciplines to present their contribution. 

Dr. Gerardo Cazzato
Dr. Alessandro Massaro
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 250 words) can be sent to the Editorial Office for assessment.

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. Current Oncology is an international peer-reviewed open access monthly 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 2200 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

  • artificial intelligence (AI)
  • algorithm
  • digital pathology
  • digital oncology
  • diagnosis
  • neoplasms

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Curr. Oncol. - ISSN 1718-7729