HRDPath: an explainable multi-model deep learning architecture for predicting homologous recombination deficiency from histopathology images.
Overview & Synopsis
Open access biomedical research article published in Nat Commun.
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | HRDPath: an explainable multi-model deep learning architecture for predicting homologous recombination deficiency from histopathology images. |
|---|---|
| Author / Organization | Wu CI, Banda K, Arora R, Soong TR, Radke M, Dillon M, Nik-Zainal S, Swisher EM, Sailem HZ |
| Subject & Discipline | Nat Commun |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-63029 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |