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Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases.

, , , , , , , и . ISBI, стр. 1-5. IEEE, (2022)

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Nguyen Bich Dat

Bich Doan Nguyen

Bich Ha Nguyen Thi

Nguyen thi Bich Hang

Nguyen Thi Bich Van

 

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Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images., , , , , , , и . ISBI, стр. 1-5. IEEE, (2024)Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach., , , , , , , , , и . J. Digit. Imaging, 33 (4): 937-945 (2020)Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases., , , , , , , и . ISBI, стр. 1-5. IEEE, (2022)Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction., , , , , , , , , и . CoRR, (2023)A Generic Predictive Model for On-Street Parking Availability., , , , и . INTSYS, том 310 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 47-60. Springer, (2019)FDSOI: From substrate to devices and circuit applications., , , , и . ESSCIRC, стр. 45-51. IEEE, (2010)Effect of measurement speed (μs-800 ps) on the characterization of reliability behaviors for FDSOI nMOSFETs., , , , , , , , и . IRPS, стр. 6. IEEE, (2018)22FD-SOI Variability Improvement Thanks to SmartCut Thickness Control at Atomic Scale., , , , , , и . ESSDERC, стр. 64-65. IEEE, (2019)Framework of Using Machine Leaning Techniques in Human Resource Management in Vietnamese Companies., , и . ICRMAT, том 28 из Annals of Computer Science and Information Systems, стр. 295-300. (2021)Strained silicon on insulator substrates for fully depleted application., , , , , , , , , и . ICICDT, стр. 1-4. IEEE, (2012)