[PDF][PDF] Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West, JM Niehues… - Cancer Cell, 2023 - cell.com
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West, JM Niehues… - paper.sciencenet.cn
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West… - arXiv preprint arXiv …, 2023 - arxiv.org
Background: Deep learning (DL) can extract predictive and prognostic biomarkers from
routine pathology slides in colorectal cancer. For example, a DL test for the diagnosis of …

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West, JM Niehues… - Cancer Cell, 2023 - zora.uzh.ch
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

[HTML][HTML] Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West, JM Niehues… - Cancer Cell, 2023 - Elsevier
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study.

SJ Wagner, D Reisenbüchler, NP West, JM Niehues… - Cancer Cell, 2023 - europepmc.org
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

[PDF][PDF] Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West, M Boxberg… - 2023 - pure.qub.ac.uk
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study.

SJ Wagner, D Reisenbüchler, NP West… - Cancer …, 2023 - eprints.whiterose.ac.uk
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

[PDF][PDF] Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West, JM Niehues… - Cancer Cell, 2023 - researchgate.net
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

SJ Wagner, D Reisenbüchler, NP West… - Cancer …, 2023 - cris.maastrichtuniversity.nl
Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine
pathology slides in colorectal cancer (CRC). However, current approaches rely on …