A research on prediction of bat-borne disease infection through segmentation using diffusion-weighted MR imaging in deep-machine learning approach-Reference-Cited by-同舟云学术

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A research on prediction of bat-borne disease infection through segmentation using diffusion-weighted MR imaging in deep-machine learning approach

Published:2021-05 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Kannan M.,Priya C.

Publisher

Elsevier BV

Subject

General Medicine

Reference41 articles.

1. Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks;McKinley;Sci. Rep.,2021

2. A deep learning approach for brain tumor classification and segmentation using a multiscale convolutional neural network;Díaz-Pernas;Healthcare 9,2021

3. Screening for Nipah virus at POC testing facility during 2019 outbreak in Kerala;John;J. Med. Sci. Clin. Res.,2020

4. Voxel weight matrix-based feature extraction for biomedical applications;Albalawi;IEEE Access,2020

5. MuscNet, a weighted voting model of multi-source connectivity networks to predict mild cognitive impairment using resting-state functional MRI;Li;IEEE Access,2020

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