Similar image search for histopathology: SMILY

por Hegde, Narayan, Hipp, Jason D., Liu, Yun, Emmert-Buck, Michael, Reif, Emily, Smilkov, Daniel, Terry, Michael, Cai, Carrie J., Amin, Mahul B., Mermel, Craig H., Nelson, Phil Q., Peng, Lily H., Corrado, Greg S., Stumpe, Martin C.
Publicado 2019

Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

por Alipanahi, Babak, Hormozdiari, Farhad, Behsaz, Babak, Cosentino, Justin, McCaw, Zachary R., Schorsch, Emanuel, Sculley, D., Dorfman, Elizabeth H., Foster, Paul J., Peng, Lily H., Phene, Sonia, Hammel, Naama, Carroll, Andrew, Khawaja, Anthony P., McLean, Cory Y.
Publicado 2021

Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification

por L’Imperio, Vincenzo, Wulczyn, Ellery, Plass, Markus, Müller, Heimo, Tamini, Nicolò, Gianotti, Luca, Zucchini, Nicola, Reihs, Robert, Corrado, Greg S., Webster, Dale R., Peng, Lily H., Chen, Po-Hsuan Cameron, Lavitrano, Marialuisa, Liu, Yun, Steiner, David F., Zatloukal, Kurt, Pagni, Fabio
Publicado 2023

Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders

por Limwattanayingyong, Jirawut, Nganthavee, Variya, Seresirikachorn, Kasem, Singalavanija, Tassapol, Soonthornworasiri, Ngamphol, Ruamviboonsuk, Varis, Rao, Chetan, Raman, Rajiv, Grzybowski, Andrzej, Schaekermann, Mike, Peng, Lily H., Webster, Dale R., Semturs, Christopher, Krause, Jonathan, Sayres, Rory, Hersch, Fred, Tiwari, Richa, Liu, Yun, Ruamviboonsuk, Paisan
Publicado 2020

Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

por Krogue, Justin D., Azizi, Shekoofeh, Tan, Fraser, Flament-Auvigne, Isabelle, Brown, Trissia, Plass, Markus, Reihs, Robert, Müller, Heimo, Zatloukal, Kurt, Richeson, Pema, Corrado, Greg S., Peng, Lily H., Mermel, Craig H., Liu, Yun, Chen, Po-Hsuan Cameron, Gombar, Saurabh, Montine, Thomas, Shen, Jeanne, Steiner, David F., Wulczyn, Ellery
Publicado 2023

Determining breast cancer biomarker status and associated morphological features using deep learning

por Gamble, Paul, Jaroensri, Ronnachai, Wang, Hongwu, Tan, Fraser, Moran, Melissa, Brown, Trissia, Flament-Auvigne, Isabelle, Rakha, Emad A., Toss, Michael, Dabbs, David J., Regitnig, Peter, Olson, Niels, Wren, James H., Robinson, Carrie, Corrado, Greg S., Peng, Lily H., Liu, Yun, Mermel, Craig H., Steiner, David F., Chen, Po-Hsuan Cameron
Publicado 2021

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

por Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Peng, Lily H., Amin, Mahul B., Evans, Andrew J., Sangoi, Ankur R., Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.
Publicado 2019

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

por Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Peng, Lily H., Amin, Mahul B., Evans, Andrew J., Sangoi, Ankur R., Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.
Publicado 2019

Interpretable survival prediction for colorectal cancer using deep learning

por Wulczyn, Ellery, Steiner, David F., Moran, Melissa, Plass, Markus, Reihs, Robert, Tan, Fraser, Flament-Auvigne, Isabelle, Brown, Trissia, Regitnig, Peter, Chen, Po-Hsuan Cameron, Hegde, Narayan, Sadhwani, Apaar, MacDonald, Robert, Ayalew, Benny, Corrado, Greg S., Peng, Lily H., Tse, Daniel, Müller, Heimo, Xu, Zhaoyang, Liu, Yun, Stumpe, Martin C., Zatloukal, Kurt, Mermel, Craig H.
Publicado 2021

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

por Wulczyn, Ellery, Nagpal, Kunal, Symonds, Matthew, Moran, Melissa, Plass, Markus, Reihs, Robert, Nader, Farah, Tan, Fraser, Cai, Yuannan, Brown, Trissia, Flament-Auvigne, Isabelle, Amin, Mahul B., Stumpe, Martin C., Müller, Heimo, Regitnig, Peter, Holzinger, Andreas, Corrado, Greg S., Peng, Lily H., Chen, Po-Hsuan Cameron, Steiner, David F., Zatloukal, Kurt, Liu, Yun, Mermel, Craig H.
Publicado 2021

Deep learning models for histologic grading of breast cancer and association with disease prognosis

por Jaroensri, Ronnachai, Wulczyn, Ellery, Hegde, Narayan, Brown, Trissia, Flament-Auvigne, Isabelle, Tan, Fraser, Cai, Yuannan, Nagpal, Kunal, Rakha, Emad A., Dabbs, David J., Olson, Niels, Wren, James H., Thompson, Elaine E., Seetao, Erik, Robinson, Carrie, Miao, Melissa, Beckers, Fabien, Corrado, Greg S., Peng, Lily H., Mermel, Craig H., Liu, Yun, Steiner, David F., Chen, Po-Hsuan Cameron
Publicado 2022

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

por Nagpal, Kunal, Foote, Davis, Tan, Fraser, Liu, Yun, Chen, Po-Hsuan Cameron, Steiner, David F., Manoj, Naren, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Peterson, Brandon, Amin, Mahul B., Evans, Andrew J., Sweet, Joan W., Cheung, Carol, van der Kwast, Theodorus, Sangoi, Ankur R., Zhou, Ming, Allan, Robert, Humphrey, Peter A., Hipp, Jason D., Gadepalli, Krishna, Corrado, Greg S., Peng, Lily H., Stumpe, Martin C., Mermel, Craig H.
Publicado 2020