Alexander Pearson to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Alexander Pearson has written about Image Processing, Computer-Assisted.
Connection Strength
1.006
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
Score: 0.488
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Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Sci Adv. 2024 Nov 15; 10(46):eadq0856.
Score: 0.154
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Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 2024 Sep; 107:105276.
Score: 0.151
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Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 2024 Mar 27; 25(1):134.
Score: 0.147
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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. Comput Biol Med. 2024 06; 175:108410.
Score: 0.037
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Deep learning in cancer pathology: a new generation of clinical biomarkers. Br J Cancer. 2021 02; 124(4):686-696.
Score: 0.029