Jan 12, 2021 · In this work, we propose a novel and augmented deep learning model, known as CleftNet, for improving synaptic cleft detection from brain EM images.
Nov 30, 2021 · In this work, we propose a novel and augmented deep learning model, known as CleftNet, for improving synaptic cleft detection from brain EM images.
Oct 9, 2021 · In this work, we propose a novel and augmented deep learning model, known as CleftNet, for improving synaptic cleft detection from brain EM ...
Jan 12, 2021 · The volume electron microscopy (EM) allows the identification of synaptic clefts by photoing EM images with high resolution and fine details.
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy. | Academic Article individual record.
在这项工作中，我们提出了一种新颖的，增强的深度学习模型，称为CleftNet，用于改善从大脑EM图像中进行的突触裂缝检测。我们首先提出了两个新颖的网络组件，称 ...
Jan 15, 2023 · We developed a multifunctional synaptic analysis system based on several advanced deep learning (DL) models. The system achieved synapse counting in low- ...
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In this work, we introduce global voxel transformer networks (GVTNets), an advanced deep learning tool for augmented microscopy that overcomes intrinsic ...
CleftNet: augmented deep learning for synaptic cleft detection from brain electron microscopy. Y Liu, S Ji. IEEE transactions on medical imaging 40 (12), 3507 ...
The volume electron microscopy (EM) allows the identification of synaptic clefts by photoing EM images with high resolution and fine details. Machine learning ...