AIMC Topic: Neural Networks, Computer

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High space-bandwidth in quantitative phase imaging using partially spatially coherent digital holographic microscopy and a deep neural network.

Optics express
Quantitative phase microscopy (QPM) is a label-free technique that enables monitoring of morphological changes at the subcellular level. The performance of the QPM system in terms of spatial sensitivity and resolution depends on the coherence propert...

Multiclass retinal disease classification and lesion segmentation in OCT B-scan images using cascaded convolutional networks.

Applied optics
Disease classification and lesion segmentation of retinal optical coherence tomography images play important roles in ophthalmic computer-aided diagnosis. However, existing methods achieve the two tasks separately, which is insufficient for clinical ...

[Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns
To establish an artificial intelligence burn depth recognition model based on convolutional neural network, and to test its effectiveness. In this evaluation study on diagnostic test, 484 wound photos of 221 burn patients in Xiangya Hospital of Cen...

Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.

Medicine
We have developed a deep learning-based approach to improve image quality of single-shot turbo spin-echo (SSTSE) images of female pelvis. We aimed to compare the deep learning-based single-shot turbo spin-echo (DL-SSTSE) images of female pelvis with ...

Stability, bifurcation and phase-locking of time-delayed excitatory-inhibitory neural networks.

Mathematical biosciences and engineering : MBE
We study a model for a network of synaptically coupled, excitable neurons to identify the role of coupling delays in generating different network behaviors. The network consists of two distinct populations, each of which contains one excitatory-inhib...

[Pathological diagnosis of lung cancer based on deep transfer learning].

Zhonghua bing li xue za zhi = Chinese journal of pathology
To establish an artificial intelligence (AI)-assisted diagnostic system for lung cancer via deep transfer learning. The researchers collected 519 lung pathologic slides from 2016 to 2019, covering various lung tissues, including normal tissues, ade...

Deep learning for variational multiscale molecular modeling.

The Journal of chemical physics
Molecular simulations are widely applied in the study of chemical and bio-physical problems. However, the accessible timescales of atomistic simulations are limited, and extracting equilibrium properties of systems containing rare events remains chal...

Faster R-CNN with improved anchor box for cell recognition.

Mathematical biosciences and engineering : MBE
As the basic units of the human body structure and function, cells have a considerable influence on maintaining the normal work of the human body. In medical diagnosis, cell examination is an important part of understanding the human function. Incorp...