A comprehensive and effective framework is designed to index and mine large-scale neuron morphological databases.

In this paper, we design a binary coding framework to effectively and efficiently analyze large neuron databases. This framework is based on the recent progress ...

Mar 1, 2017 · Morphological retrieval is an effective approach to explore large-scale neuronal databases, as the morphology is correlated with neuronal ...

Morphological retrieval is an effective approach to explore large-scale neuronal databases, as the morphology is correlated with neuronal types, regions, ...

Li, Zhongyu, Fang, Ruogu, Shen, Fumin, Katouzian, Amin, and Zhang, Shaoting. Indexing and mining large-scale neuron databases using maximum inner product search ...

In this paper, we focus on the neuron identification and analysis via morphological retrieval. In our proposed framework, multiple features are extracted to ...

Indexing and mining large-scale neuron databases using maximum inner product search ... indexing scheme for fast search in a large-scale image database ...

May 9, 2024 · Indexing and Mining Large-Scale Neuron Databases using Maximum Inner Product Search. Article. Oct 2016; PATTERN RECOGN. Zhongyu Li ...

A comprehensive and effective framework is designed to index and mine large-scale neuron morphological databases. A novel retrieval method is proposed based ...

Jun 15, 2016 · We evaluate the proposed method on more than 17,000 neurons, by validating the retrieved neurons with associated cell types and brain regions.