Lei Cui

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis

2020 · IEEE Transactions on Computational Biology and Bioinformatics

Diagnostic pathology is the foundation and gold standard for identifying carcinomas, and the accurate quantification of pathological images can provide objective clues for pathologists to make more convincing diagnosis. Recently, the encoder-decoder architectures (EDAs) of …

Feature fusion and Ensemble learning-based CNN model for mammographic image classification

2022 · Journal of King Saud University - Computer and Information Sciences

In recent times, the world has faced an alarming situation regarding breast cancer patients. The early diagnosis of this deadly disease can make the treatment more accessible and practical. In this regard, a Computer-Aided Diagnosis …

Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization

2022 · arXiv (Cornell University)

Bayesian Optimization (BO) is a common solution to search optimal hyperparameters based on sample observations of a machine learning model. Existing BO algorithms could converge slowly even collapse when the potential observation noise misdirects the …

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation

2022 · 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Although deep convolution neural networks (DC-NNs) can achieve remarkable success on medical image segmentation, their performance might significantly deteriorate when confronting testing data with the new distribution. Recent studies suggest that one major cause of …

Research on Template Discovery Technology for Multi-Source Heterogeneous Log Fusion

2024

With the rapid development of network technology, the internal and external problems faced by data centers are becoming increasingly prominent. The massive log information generated by different devices has brought huge challenges to network security …