Search Results - "Hewitt, Katherine J."

Deep Learning With Sampling in Colon Cancer Histology by Shapcott, Mary, Hewitt, Katherine J, Rajpoot, Nasir

“…This study applied a deep-learning cell identification algorithm to diagnostic images from the colon cancer repository at The Cancer Genome Atlas (TCGA)…”
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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides by El Nahhas, Omar S. M., Loeffler, Chiara M. L., Carrero, Zunamys I., van Treeck, Marko, Kolbinger, Fiona R., Hewitt, Katherine J., Muti, Hannah S., Graziani, Mara, Zeng, Qinghe, Calderaro, Julien, Ortiz-Brüchle, Nadina, Yuan, Tanwei, Hoffmeister, Michael, Brenner, Hermann, Brobeil, Alexander, Reis-Filho, Jorge S., Kather, Jakob Nikolas

“…Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved applications use this technology. Most approaches, however,…”
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Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides by El Nahhas, Omar S. M., Loeffler, Chiara M. L., Carrero, Zunamys I., van Treeck, Marko, Kolbinger, Fiona R., Hewitt, Katherine J., Muti, Hannah S., Graziani, Mara, Zeng, Qinghe, Calderaro, Julien, Ortiz-Brüchle, Nadina, Yuan, Tanwei, Hoffmeister, Michael, Brenner, Hermann, Brobeil, Alexander, Reis-Filho, Jorge S., Kather, Jakob Nikolas

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Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4) by Truhn, Daniel, Loeffler, Chiara ML, Müller‐Franzes, Gustav, Nebelung, Sven, Hewitt, Katherine J, Brandner, Sebastian, Bressem, Keno K, Foersch, Sebastian, Kather, Jakob Nikolas

“…Deep learning applied to whole‐slide histopathology images (WSIs) has the potential to enhance precision oncology and alleviate the workload of experts…”
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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology by El Nahhas, Omar S M, van Treeck, Marko, Wölflein, Georg, Unger, Michaela, Ligero, Marta, Lenz, Tim, Wagner, Sophia J, Hewitt, Katherine J, Khader, Firas, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas

“…Hematoxylin- and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. In recent years, development of deep learning-based methods…”
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Automated curation of large‐scale cancer histopathology image datasets using deep learning by Hilgers, Lars, Ghaffari Laleh, Narmin, West, Nicholas P, Westwood, Alice, Hewitt, Katherine J, Quirke, Philip, Grabsch, Heike I, Carrero, Zunamys I, Matthaei, Emylou, Loeffler, Chiara M L, Brinker, Titus J, Yuan, Tanwei, Brenner, Hermann, Brobeil, Alexander, Hoffmeister, Michael, Kather, Jakob Nikolas

“…Background Artificial intelligence (AI) has numerous applications in pathology, supporting diagnosis and prognostication in cancer. However, most AI models are…”
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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance by Niehues, Jan M., Müller-Franzes, Gustav, Schirris, Yoni, Wagner, Sophia Janine, Jendrusch, Michael, Kloor, Matthias, Pearson, Alexander T., Muti, Hannah Sophie, Hewitt, Katherine J., Veldhuizen, Gregory P., Zigutyte, Laura, Truhn, Daniel, Kather, Jakob Nikolas

“…Latent diffusion models (LDMs) have emerged as a state-of-the-art image generation method, outperforming previous Generative Adversarial Networks (GANs) in…”
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Direct image to subtype prediction for brain tumors using deep learning by Hewitt, Katherine J, Löffler, Chiara M L, Muti, Hannah Sophie, Berghoff, Anna Sophie, Eisenlöffel, Christian, van Treeck, Marko, Carrero, Zunamys I, El Nahhas, Omar S M, Veldhuizen, Gregory P, Weil, Sophie, Saldanha, Oliver Lester, Bejan, Laura, Millner, Thomas O, Brandner, Sebastian, Brückmann, Sascha, Kather, Jakob Nikolas

“…Deep Learning (DL) can predict molecular alterations of solid tumors directly from routine histopathology slides. Since the 2021 update of the World Health…”
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Large language models as a diagnostic support tool in neuropathology by Hewitt, Katherine J, Wiest, Isabella C, Carrero, Zunamys I, Bejan, Laura, Millner, Thomas O, Brandner, Sebastian, Kather, Jakob Nikolas

“…Abstract The WHO guidelines for classifying central nervous system (CNS) tumours are changing considerably with each release. The classification of CNS tumours…”
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Test Time Transform Prediction for Open Set Histopathological Image Recognition by Galdran, Adrian, Hewitt, Katherine J, Ghaffari, Narmin L, Kather, Jakob N, Carneiro, Gustavo, Ballester, Miguel A. González

“…Tissue typology annotation in Whole Slide histological images is a complex and tedious, yet necessary task for the development of computational pathology…”
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From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology by Nahhas, Omar S. M. El, van Treeck, Marko, Wölflein, Georg, Unger, Michaela, Ligero, Marta, Lenz, Tim, Wagner, Sophia J, Hewitt, Katherine J, Khader, Firas, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas

“…Hematoxylin- and eosin (H&E) stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. In recent years, development of deep learning-based…”
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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides by Nahhas, Omar S. M. El, Loeffler, Chiara M. L, Carrero, Zunamys I, van Treeck, Marko, Kolbinger, Fiona R, Hewitt, Katherine J, Muti, Hannah S, Graziani, Mara, Zeng, Qinghe, Calderaro, Julien, Ortiz-Brüchle, Nadina, Yuan, Tanwei, Hoffmeister, Michael, Brenner, Hermann, Brobeil, Alexander, Reis-Filho, Jorge S, Kather, Jakob Nikolas

“…Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved applications use this technology. Most approaches, however,…”
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