Research graph
References from Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3322/caac.21660
10.3322/caac.21660 · External reference
Automated analysis and diagnosis of skin melanoma on whole slide histopathological images
10.1016/j.patcog.2015.02.023 · 2015 · External reference
10.1016/j.media.2022.102464
10.1016/j.media.2022.102464 · External reference
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2022 · External reference
10.1016/j.euf.2021.07.002
10.1016/j.euf.2021.07.002 · External reference
10.1016/j.csbj.2023.10.044
10.1016/j.csbj.2023.10.044 · External reference
Gleason grading: past, present and future
10.1111/j.1365-2559.2011.04003.x · 2012 · External reference
10.1016/j.cmpb.2020.105637
10.1016/j.cmpb.2020.105637 · External reference
Gleason grading of prostate cancer: a pragmatic approach
10.1016/j.mpdhp.2019.07.001 · 2019 · External reference
10.1016/j.urolonc.2022.03.003
10.1016/j.urolonc.2022.03.003 · External reference
10.1038/s41591-019-0508-1
10.1038/s41591-019-0508-1 · External reference
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2022 · External reference
10.1016/j.media.2022.102645
10.1016/j.media.2022.102645 · External reference
Automatic diagnosis and grading of prostate cancer with weakly supervised learning on whole slide images
10.1016/j.compbiomed.2022.106340 · 2023 · External reference
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the panda challenge
10.1038/s41591-021-01620-2 · 2022 · External reference
10.1016/s1470-2045(19)30739-9
10.1016/s1470-2045(19)30739-9 · External reference
10.1016/j.csbj.2023.03.048 · 2023 · Admitted local publication
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
10.1038/s41379-021-00794-x · 2021 · External reference
Development and validation of a deep learning algorithm for Gleason grading of prostate cancer from biopsy specimens
10.1001/jamaoncol.2020.2485 · 2020 · External reference
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study
10.1016/s2589-7500(20)30159-x · 2020 · External reference
Yet another automated Gleason grading system (yaaggs) by weakly supervised deep learning
2021 · External reference
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
10.1016/s2589-7500(21)00133-3 · 2021 · External reference
Clinical-grade detection of microsatellite instability in colorectal tumors by deep learning
10.1053/j.gastro.2020.06.021 · 2020 · External reference
Swarm learning for decentralized artificial intelligence in cancer histopathology
2022 · External reference
Federated learning enables big data for rare cancer boundary detection
10.1038/s41467-022-33407-5 · 2022 · External reference
Unresolved reference
2021 · External reference
Federated learning: challenges, methods, and future directions
10.1109/msp.2020.2975749 · 2020 · External reference
10.1007/s41666-020-00082-4
10.1007/s41666-020-00082-4 · External reference
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
10.1038/s41598-020-69250-1 · 2020 · External reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
10.1016/j.media.2021.102298
10.1016/j.media.2021.102298 · External reference
Federated learning of predictive models from federated electronic health records
10.1016/j.ijmedinf.2018.01.007 · 2018 · External reference
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Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
10.1016/j.jbi.2019.103291 · 2019 · External reference
Predictive modeling of the hospital readmission risk from patients' claims data using machine learning: a case study on copd
2019 · External reference
10.1093/jamia/ocz199
10.1093/jamia/ocz199 · External reference
Fedhealth: a federated transfer learning framework for wearable healthcare
10.1109/mis.2020.2988604 · 2020 · External reference
Estimation of continuous blood pressure from ppg via a federated learning approach
10.3390/s21186311 · 2021 · External reference
Unresolved reference
2019 · External reference
10.1093/bioinformatics/btaa1006
10.1093/bioinformatics/btaa1006 · External reference
Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches
10.1007/s11427-021-1946-0 · 2022 · External reference
Unresolved reference
2021 · External reference
Federated learning for Covid-19 screening from chest X-ray images
10.1016/j.asoc.2021.107330 · 2021 · External reference
Federated learning for thyroid ultrasound image analysis to protect personal information: validation study in a real health care environment
10.2196/25869 · 2021 · External reference
Federated deep learning for detecting Covid-19 lung abnormalities in ct: a privacy-preserving multinational validation study
2021 · External reference
Federated learning approach with pre-trained deep learning models for Covid-19 detection from unsegmented ct images
10.3390/life12070958 · 2022 · External reference
Unresolved reference
2021 · External reference
10.1109/isbi48211.2021.9433925
10.1109/isbi48211.2021.9433925 · 2021 · External reference
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2021 · External reference
10.1007/978-3-030-60548-3_13
10.1007/978-3-030-60548-3_13 · 2020 · External reference
Federated learning and differential privacy for medical image analysis
10.1038/s41598-022-05539-7 · 2022 · External reference
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images
10.1016/j.media.2022.102703 · 2023 · External reference
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Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer
2023 · External reference
10.1561/2200000083 · 2021 · Admitted local publication
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2017 · External reference
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2021 · External reference
Unresolved reference
2022 · External reference
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An adaptive federated learning scheme with differential privacy preserving
10.1016/j.future.2021.09.015 · 2022 · External reference
10.1016/j.dcan.2021.11.006
10.1016/j.dcan.2021.11.006 · External reference
Unresolved reference
2006 · External reference
Cork: a privacy-preserving and lossless federated learning scheme for deep neural network
10.1016/j.ins.2022.04.052 · 2022 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2020 · External reference
10.1145/3555776.3577613
10.1145/3555776.3577613 · 2023 · External reference
Proportionally fair hospital collaborations in federated learning of histopathology images
2023 · External reference
Unresolved reference
2022 · External reference
10.1016/j.media.2022.102559
10.1016/j.media.2022.102559 · External reference
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2018 · External reference
Sac-net: enhancing spatiotemporal aggregation in cervical histological image classification via label-efficient weakly supervised learning
2023 · External reference
10.1109/tsmc.1979.4310076
10.1109/tsmc.1979.4310076 · External reference
10.1007/978-3-642-04898-2_327
10.1007/978-3-642-04898-2_327 · 2011 · External reference
10.1038/s41598-021-93030-0
10.1038/s41598-021-93030-0 · External reference
Federated machine learning: concept and applications
10.1145/3298981 · 2019 · External reference
