Hong Bu

Orcid: 0000-0001-7472-6443

According to our database1, Hong Bu authored at least 13 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization.
IEEE J. Biomed. Health Informatics, January, 2024

One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer.
Expert Syst. Appl., 2024

Exponential distance transform maps for cell localization.
Eng. Appl. Artif. Intell., 2024

Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels.
CoRR, 2023

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer.
CoRR, 2023

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer.
CoRR, 2023

2021
An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma.
IEEE Access, 2021

2020
Blind deblurring for microscopic pathology images using deep learning networks.
CoRR, 2020

Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm.
Comput. Methods Programs Biomed., 2020

2017
Gland segmentation guided by glandular structures: A level set framework with two levels.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Level Set Method for Gland Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2007
Correction of Simple Contrast Loss in Color Images.
IEEE Trans. Image Process., 2007


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