Journal of Pathology Informatics

Journal of Pathology Informatics
ISSN:
print: 2229-5089
on-line: 2153-3539
研究领域:
Medicine-Pathology and Forensic Medicine
Gold OA文章占比:
0.00%
原创研究文献占比:
0.00%
SCI收录类型:
Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
3.70.6390.729
学科
排名
百分位
大类:Medicine
小类:Pathology and Forensic Medicine
80 / 208
61%
大类:Computer Science
小类:Computer Science Applications
417 / 817
49%
大类:Medicine
小类:Health Informatics
78 / 138
43%
发文信息
历年影响因子
历年发表
2019年2
投稿信息
出版语言:
English
出版国家(地区):
India
审稿时长:
18 weeks
发表时长:
15 days
论文处理费:
$1470
出版商:
Wolters Kluwer Health

Journal of Pathology Informatics - 最新文献

Improving the generalizability of white blood cell classification with few-shot domain adaptation

Pub Date : 2024-12-01 DOI: 10.1016/j.jpi.2024.100405 Manon Chossegros , François Delhommeau , Daniel Stockholm , Xavier Tannier

Leveraging deep learning for identification and segmentation of "CAF-1/p60-positive" nuclei in oral squamous cell carcinoma tissue samples.

Pub Date : 2024-11-09 DOI: 10.1016/j.jpi.2024.100407 Silvia Varricchio, Gennaro Ilardi, Daniela Russo, Rosa Maria Di Crescenzo, Angela Crispino, Stefania Staibano, Francesco Merolla
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