Mobile QR Code QR CODE

2025

Reject Ratio

81.5%

References

1 
Singh Y. P. , Lobiyal D. K. , 2024, A comparative analysis and classification of cancerous brain tumors detection based on classical machine learning and deep transfer learning models, Multimedia Tools and Applications, Vol. 83, No. 13, pp. 39537-39562DOI
2 
Awan T. , Khan K. B. , 2024, Investigating the impact of novel XrayGAN in feature extraction for thoracic disease detection in chest radiographs: Lung cancer, Signal, Image and Video Processing, Vol. 18, pp. 3957-3972DOI
3 
Luo L. , Wang X. , Lin Y. , Ma X. , Tan A. , Chan R. , Chen H. , 2024, Deep learning in breast cancer imaging: A decade of progress and future directions, IEEE Reviews in Biomedical Engineering, Vol. 18, pp. 130-151DOI
4 
Yousef R. , Khan S. , Gupta G. , Siddiqui T. , Albahlal B. M. , Alajlan S. A. , Haq M. A. , 2023, U-Net-based models towards optimal MR brain image segmentation, Diagnostics, Vol. 13, No. 9, pp. 1624DOI
5 
Farhan A. M. Q. , Yang S. , 2023, Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm, Multimedia Tools and Applications, Vol. 82, No. 25, pp. 38561-38587DOI
6 
Zhou X. , Li Y. , Liang W. , 2020, CNN-RNN based intelligent recommendation for online medical pre-diagnosis support, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 18, No. 3, pp. 912-921DOI
7 
Bouallegue G. , Djemal R. , Alshebeili S. A. , Aldhalaan H. , 2020, A dynamic filtering DF-RNN deep-learning-based approach for EEG-based neurological disorders diagnosis, IEEE Access, Vol. 8, pp. 206992-207007DOI
8 
Rehman A. , Butt M. A. , Zaman M. , 2021, A survey of medical image analysis using deep learning approaches, Proc. of the 5th International Conference on Computing Methodologies and Communication, pp. 1334-1342DOI
9 
Nasir N. , Kansal A. , Barneih F. , Al-Shaltone O. , Bonny T. , Al-Shabi M. , Shammaa A. Al , 2023, Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans, Intelligent Systems with Applications, Vol. 17, pp. 200160DOI
10 
Chen C. , 2023, State-of-the-art review on deep learning applications in radiology, IEEE Transactions on Medical Imaging, Vol. 42, No. 3, pp. 789-802Google Search
11 
Li Z. , 2023, Enhanced brain tumor segmentation using deep learning and multi-modal MRI fusion, NeuroImage, Vol. 210, pp. 116532Google Search
12 
Nguyen H. , 2023, Automated detection of COVID-19 lesions in lung CT scans using deep learning, IEEE Transactions on Biomedical Engineering, Vol. 70, No. 1, pp. 235-248Google Search
13 
Wang L. , 2023, Deep learning-based multi-modal fusion for brain disease diagnosis and prognosis, Neuroinformatics, Vol. 21, No. 3, pp. 539-552Google Search
14 
Zhang Y. , Kohne J. , Wittrup E. , Najarian K. , 2024, Three-stage framework for accurate pediatric chest X-ray diagnosis using self-supervision and transfer learning on small datasets, Diagnostics, Vol. 14, No. 15, pp. 1634DOI
15 
Yu W. , Wang M. , Zhang Y. , Zhao L. , 2024, Reciprocal cross-modal guidance for liver lesion segmentation from multiple phases under incomplete overlap, Biomedical Signal Processing and Control, Vol. 88, pp. 105561DOI