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Artificial Intelligence in Pathological Image Analysis—2nd Edition

This special issue belongs to the section “Machine Learning and Artificial Intelligence in Diagnostics“.

Special Issue Information

Dear Colleagues,

In routine pathological diagnosis, histopathological and cytopathological examination of specimens is conventionally performed under light microscopy. Whole slide images (WSIs) are the digitized counterparts of conventional glass slides obtained via specialized scanning devices. In recent years, the introduction of digital pathology into clinical workflows such as intraoperative consultations and secondary consultations is increasing steadily. The advent of WSIs has led to the application of medical image analysis, machine learning, and deep learning approaches for aiding pathologists in inspecting WSIs and routine diagnosis. Deep learning in particular has found a wide array of applications (e.g., classification, segmentation, and patient outcome predictions) in computational pathology.

In a time of distinct paradigm shifts, it is necessary for us to establish unified comprehension(s) of artificial intelligence approaches in experimental and clinical pathology in light of recent technological innovations in pathology. To contribute to the knowledge base on artificial intelligence in pathology, the following topics will be considered:

  • Artificial intelligence models in clinical and experimental pathology;
  • Computer vision in pathological image analysis.

Dr. Masayuki Tsuneki
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 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. Diagnostics 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 2600 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

  • histopathology
  • cytopathology
  • molecular pathology
  • surgical pathology
  • digital pathology
  • microscopy
  • whole slide image (WSI)
  • clinical data
  • computer vision
  • deep learning
  • machine learning
  • computation
  • mathematics
  • domain adaptation
  • segmentation
  • classification
  • pattern recognition
  • explainable AI
  • reconstruction

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Diagnostics - ISSN 2075-4418