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Research and Clinical Applications of Gynecologic Cancer Detection Technologies

This special issue belongs to the section “Methods and Technologies Development“.

Special Issue Information

Dear Colleagues,

Gynaecological cancers remain a significant global health challenge. The increased understanding of the genetic and molecular aspects of these tumours is helping us develop effective screening programmes, but still, around 1.5 million women diagnosed with gynaecological cancer during 2022. These statistics highlight the need for improved prevention and early detection to obtain the best outcomes for our patients.

This Special Issue of Cancers therefore will be focused on new diagnostic approaches for early detection of Gynaecological Cancers. It will also explore how new technologies will enhance our ability to diagnose these cancers earlier and to increase the sensitivity and specificity of the existing screening methods.

Dr. Porfyrios Korompelis
Guest Editor

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 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. 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

  • gynaecological cancer
  • early diagnosis
  • artificial intelligence
  • novel technologies

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Cancers - ISSN 2072-6694