Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images-Reference-Cited by-同舟云学术

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Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images

Published:2023 Issue: Volume: Page:177-186
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Bitto Abu Kowshir^ORCID,Bijoy Md. Hasan Imam^ORCID,Yesmin Sabina^ORCID,Mia Md. Jueal^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34619-4_15

Reference14 articles.

1. Pereira, S., Pinto, A., Alves, V., Silva, C.A.: Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans. Med. Imaging 35(5), 1240–1251 (2016)

2. Deepak, S., Ameer, P.M.: Brain tumor classification using deep CNN features via transfer learning. Comput. Biol. Med. 111, 103345 (2019)

3. Talo, M., Baloglu, U.B., Yıldırım, Ö., Rajendra Acharya, U.: Application of deep transfer learning for automated brain abnormality classification using MR images. Cogn. Syst. Res. 54, 176–188 (2019)

4. Ahuja, S., Panigrahi, B.K., Gandhi, T.: Transfer learning based brain tumor detection and segmentation using superpixel technique. In: 2020 International Conference on Contemporary Computing and Applications (IC3A), pp. 244–249. IEEE (2020)

5. Khan, M.A., et al.: Multimodal brain tumor classification using deep learning and robust feature selection: a machine learning application for radiologists. Diagnostics 10(8), 565 (2020). https://doi.org/10.3390/diagnostics10080565

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