6 Result(s)
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Chapter and Conference Paper
Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs from CT scans is time-consumin...
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Chapter
Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images
The fine-grained classification or grading of breast cancer pathological images is of great value in clinical application. However, the manual feature extraction methods not only require professional knowledge...
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Chapter and Conference Paper
CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning
Pseudouridine (ψ) is a kind of RNA modification, which is formed at specific site of RNA sequence due to the catalytic action of Pseudouridine synthase in the process of gene transcription. It is the most prev...
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Chapter
Leukemia Early Screening by Using NIR Spectroscopy and LAR-PLS Regression Model
In this paper, a regression analysis method based on the combination of Least Angle Regression (LAR) and Partial Least Squares (PLS) is proposed, which uses the non-invasive characteristics of near infrared sp...
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Chapter
Cost-Sensitive Collaborative Representation Based Classification via Probability Estimation Addressing the Class Imbalance Problem
Collaborative representation has been successfully used in pattern recognition and machine learning. However, most existing collaborative representation classification methods are to achieve the highest classi...
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Chapter
Near Infrared Spectroscopy Drug Discrimination Method Based on Stacked Sparse Auto-Encoders Extreme Learning Machine
This paper describes a method for drug discrimination with near infrared spectroscopy based on SSAE-ELM. ELM instead of the BP was introduced to fine-tuning SSAE, which can reduce the training time of SSAE and...
