A deep learning based holistic diagnosis system for immunohistochemistry interpretation and molecular subtyping.

Authors:
Fan L; Liu J; Ju B; Lou D; Tian Y.

Journal:
Neoplasia

Publication Year: 2024

DOI:
10.1016/j.neo.2024.100976

PMCID:
PMC10904904

PMID:
38412576

Journal Information

Full Title: Neoplasia

Abbreviation: Neoplasia

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neoplasms

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Statements & Declarations Ethics approvalThis is an observational study. The IEC for Clinical Research of Zhongda Hospital, Affiliated to Southeast University has confirmed that no ethical approval is required. Open AccessTo view a copy of this licence, visit http://xxxx Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper."

Evidence found in paper:

"Funding This work was supported by 10.13039/501100009994Excellent Youth Foundation of Jiangsu Scientific Committee (BK20211538), the Leading-edge Technology Program of 10.13039/501100004608Jiangsu Natural Science Foundation (BK20222002), the National Science Foundations of China (No. 61991431, No. 62274093, No. 62305175), the 10.13039/501100012335National Basic Research Program of China (2018YFA0209100), the Open Research Fund of State Key Laboratory of Bioelectronics, Southeast University (SKLB2022-K08), Jiangsu Provincial Double-Innovation Doctor Program (JSSCBS20210506), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (1020231538), and NUPTSF (XK0320920167)."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025