An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Autor: Ghahremani, Parmida, Marino, Joseph, Hernandez-Prera, Juan, de la Iglesia, Janis V., Slebos, Robbert JC, Chung, Christine H., Nadeem, Saad

We introduce a new AI-ready computational pathology dataset containing restained and co-registered digitized images from eight head-and-neck squamous cell carcinoma patients. Specifically, the same tumor sections were stained with the expensive multi

Externí odkaz: http://arxiv.org/abs/2305.16465

DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides

Autor: Ghahremani, Parmida, Marino, Joseph, Dodds, Ricardo, Nadeem, Saad

In the clinic, resected tissue samples are stained with Hematoxylin-and-Eosin (H&E) and/or Immunhistochemistry (IHC) stains and presented to the pathologists on glass slides or as digital scans for diagnosis and assessment of disease progression. Cel

Externí odkaz: http://arxiv.org/abs/2204.04494

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment.

Autor: Ghahremani P; Memorial Sloan Kettering Cancer Center, New York NY 10065, USA., Marino J; Memorial Sloan Kettering Cancer Center, New York NY 10065, USA., Hernandez-Prera J; Moffitt Cancer Center, Tampa FL 33612, USA., de la Iglesia JV; Moffitt Cancer Center, Tampa FL 33612, USA., Slebos RJ; Moffitt Cancer Center, Tampa FL 33612, USA., Chung CH; Moffitt Cancer Center, Tampa FL 33612, USA., Nadeem S; Memorial Sloan Kettering Cancer Center, New York NY 10065, USA.

Publikováno v: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2023 Oct; Vol. 14225, pp. 704-713. Date of Electronic Publication: 2023 Oct 01.