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Deep Structured Learning in Medical Image Analysis
Title
Deep Structured Learning in Medical Image Analysis
Author
Kong, Bin
Date Created
2020
Description
Deep learning-based techniques have been widely employed in solving various medical image analytical problems. Currently, most of these methods directly employ deep architectures from natural image scenarios without considering the specific struct...
Deep Structured Learning in Medical Image Analysis
Title
Deep Structured Learning in Medical Image Analysis
Author
Kong, Bin
Date Created
2020
Subjects--Topical
Artificial intelligence, Diagnostic imaging
Description
Deep learning-based techniques have been widely employed in solving various medical image analytical problems. Currently, most of these methods directly employ deep architectures from natural image scenarios without considering the specific struct...
Interactive Mining for Large-scale Neuro-Morphological Datasets
Title
Interactive Mining for Large-scale Neuro-Morphological Datasets
Author
Li, Zhongyu
Date Created
2018
Description
In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists interactively explore neurons in real-time. Particularly, we tackle the neuro-...
Interactive Mining for Large-scale Neuro-Morphological Datasets
Title
Interactive Mining for Large-scale Neuro-Morphological Datasets
Author
Li, Zhongyu
Date Created
2018
Subjects--Topical
Computer science, Neurosciences, Biomedical engineering
Description
In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists interactively explore neurons in real-time. Particularly, we tackle the neuro-...
Towards large-scale and fine-grained image recognition
Title
Towards large-scale and fine-grained image recognition
Author
Zhang, Xiaofan
Date Created
2017
Description
In this dissertation, we aim to investigate the problem of large-scale and fine-grained image recognition, which focuses on the differentiation of subtle differences among subordinate classes and a large number of images. Particularly, we tackle t...
Towards large-scale and fine-grained image recognition
Title
Towards large-scale and fine-grained image recognition
Author
Zhang, Xiaofan
Date Created
2017
Subjects--Topical
Computer science
Description
In this dissertation, we aim to investigate the problem of large-scale and fine-grained image recognition, which focuses on the differentiation of subtle differences among subordinate classes and a large number of images. Particularly, we tackle t...