SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

Kumar, K; Khanam, S; Bhuiyan, M M I; Chalak Qazani, Mohammadreza; Mondal, S K; Asadi, Houshyar; Kabir, H M Dipu; Khorsavi, A; Nahavandi, Saeid

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SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

conference contribution

posted on 2021-01-01, 00:00 authored by K Kumar, S Khanam, M M I Bhuiyan, Mohammadreza Chalak Qazani, S K Mondal, Houshyar AsadiHoushyar Asadi, H M Dipu Kabir, A Khorsavi, Saeid Nahavandi

SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

History

Event

IEEE Recent advances in systems science and engineering. Conference (2021 : Shanghai, China)

Pagination

1 - 7

Publisher

IEEE

Location

Shanghai, China

Place of publication

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/RASSE53195.2021.9686883

Start date

2021-12-12

End date

2021-12-14

ISBN-13

9781665434416

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

RASSE 2021 - Proceedings of the 2021 IEEE International Conference on Recent Advances in Systems Science and Engineering

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Keywords

Science & Technology Technology Computer Science, Hardware & Architecture Computer Science, Information Systems Computer Science, Software Engineering Engineering, Multidisciplinary Computer Science Engineering Deep Learning SpinalNet COVID-19 Accuracy Loss X-ray Pneumonia MODEL

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SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

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Pagination

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Place of publication

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End date

ISBN-13

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Publication classification

Title of proceedings

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