Microscopy Research and Technique

Journal Information
ISSN / EISSN : 1059-910X / 1097-0029
Current Publisher: Wiley (10.1002)
Former Publisher:
Total articles ≅ 6,101
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Latest articles in this journal

Shuxiang Cai, Yalin Sun, Honghui Chu, , Haibo Yu, Lianqing Liu
Published: 14 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23818

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Amjad Rehman Khan, Fatemeh Doosti, Mohsen Karimi, , Usman Tariq, Suliman Mohamed Fati,
Published: 14 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23816

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, Çetin Bozkurt, Binnur Kanbur Yılmaz,
Published: 13 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23817

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Anser Mukhtar, , Shabnum Shaheen, Nadeem Ullah, Shafiq Ur Rehman
Published: 12 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23811

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, Shanliang Zheng, Lina Zheng, Feng Liu, Yudian Song, Meng‐Jiao Wang
Published: 12 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23814

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, Zahra Rastegar
Published: 11 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23767

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Selma Delgado de Souza Moro, Lucas De Oliveira Fujii, Luis Felipe Rodrigues Teodoro, Katleen Frauz, Alysson Fernandes Mazoni, Marcelo Augusto Maretto Esquisatto, Rodney Alexandre Ferreira Rodrigues, Edson Rosa Pimentel,
Published: 11 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23809

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Hyeonjin Kim, Bokyung Choi, Changyoung Lee, Scott A. M. McAdam, Jin‐Hyub Paik,
Published: 10 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23812

The publisher has not yet granted permission to display this abstract.
Javaria Amin, Muhammad Almas Anjum, Muhammad Sharif, Tanzila Saba,
Published: 8 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23779

Abstract:
Coronavirus19 is caused due to infection in the respiratory system. It is the type of RNA virus that might infect animal and human species. In the severe stage, it causes pneumonia in human beings. In this research, hand‐crafted and deep microscopic features are used to classify lung infection. The proposed work consists of two phases; in phase I, infected lung region is segmented using proposed U‐Net deep learning model. The hand‐crafted features are extracted such as histogram orientation gradient (HOG), noise to the harmonic ratio (NHr), and segmentation based fractal texture analysis (SFTA) from the segmented image, and optimum features are selected from each feature vector using entropy. In phase II, local binary patterns (LBPs), speeded up robust feature (Surf), and deep learning features are extracted using a pretrained network such as inceptionv3, ResNet101 from the input CT images, and select optimum features based on entropy. Finally, the optimum selected features using entropy are fused in two ways, (i) The hand‐crafted features (HOG, NHr, SFTA, LBP, SURF) are horizontally concatenated/fused (ii) The hand‐crafted features (HOG, NHr, SFTA, LBP, SURF) are combined/fused with deep features. The fused optimum features vector is passed to the ensemble models (Boosted tree, bagged tree, and RUSBoosted tree) in two ways for the COVID19 classification, (i) classification using fused hand‐crafted features (ii) classification using fusion of hand‐crafted features and deep features. The proposed methodology is tested /evaluated on three benchmark datasets. Two datasets employed for experiments and results show that hand‐crafted & deep microscopic feature's fusion provide better results compared to only hand‐crafted fused features.
, , Eduardo Fernández, Cristiane De Melo Alencar, Jéssika Mayhara Pereira Morais, Edson Alves de Campos, Milton Carlos Kuga
Published: 7 May 2021
by Wiley
Microscopy Research and Technique; doi:10.1002/jemt.23789

The publisher has not yet granted permission to display this abstract.
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