Artificial Intelligence for Pathology Image Analysis and Tumor Detection
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (30 May 2022) | Viewed by 3859
Special Issue Editor
Interests: pathology; hematopathology; cytology; metaanalysis; digital pathology; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of artificial intelligence (AI) in medicine is now a very popular topic in translational research due to its promising results. With the help of the recent advances of digital pathology and the increase in digitalized pathologic image data, the development of AI models for pathologic image analysis has also seen significant progress. However, suboptimal color normalization and preprocessing of scanned images, the bigger size of the dataset, the lack of a publicly available dataset with quality annotation, and the elementary study design which lacks external validation still remain major obstacles to be overcome. This is a niche research topic, but efforts to reduce the inter- and intraobserver variability of pathologic exams are nevertheless a significant global goal. This Special Issue invites studies with novel ideas applying AI in the pathologic field, showing robust performance and sufficient datasets with a quality annotation that can help to solve the various issues in the daily practice of cancer diagnosis.
Dr. Yosep Chong
Guest Editor
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