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Diagnostic Pathology is a peer-reviewed journal published by BMC (BioMed Central), covering Sarcoma Diagnosis and Treatment, AI in cancer detection, Lymphoma Diagnosis and Treatment. Over its lifetime it has published 2,736 papers, which have received 56,720 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Diagnostic Pathology. 2023;12(3):45–58.
Formats any DOI in Diagnostic Pathology style. No sign-up. |
| Publishes research in | Sarcoma Diagnosis and Treatment AI in cancer detection Lymphoma Diagnosis and Treatment Salivary Gland Tumors Diagnosis and Treatment Breast Lesions and Carcinomas |
| ISSN | 1746-1596 |
| Citation impact (2-yr) | 3.73 |
| h-index | 78 |
| i10-index | 1,645 |
| Article processing charge | $2,318 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Sun Yat-sen University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
BACKGROUND: Immunohistochemistry (IHC) is a well-established, widely accepted method in both clinical and experimental parts of medical science. It allows receiving valuable information about any process in any tissue, and especially in bone. Each year the amount of data, received by IHC, grows in geometric progression. But the lack of standardization, especially on the post-analytical…
Immunohistochemical (IHC) assays performed on formalin-fixed paraffin-embedded (FFPE) tissue sections traditionally have been semi-quantified by pathologist visual scoring of staining. IHC is useful for validating biomarkers discovered through genomics methods as large clinical repositories of FFPE specimens support the construction of tissue microarrays (TMAs) for high throughput studies. Due to the ubiquitous availability of IHC…
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherein new tools such as digital imaging, advanced artificial intelligence (AI) algorithms, and computer-aided diagnostic techniques are being used for assisting, augmenting and empowering the computational…
BACKGROUND: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine is rapidly expanding and promises to revolutionize patient care in the coming years. In addition, it…
BACKGROUND: Despite significant changes in the clinical and histologic diagnosis of prostate cancer, the Gleason grading system remains one of the most powerful prognostic predictors in prostate cancer. The correct diagnosis and grading of prostate cancer is crucial for a patient's prognosis and therapeutic options. However, this system has undergone significant revisions and continues to…
