A Multi-Task Deep Learning Framework for Simultaneous Detection of Thoracic Pathology through Image Classification

Author:

Zahrani Nada Al,Hedjar Ramdane,Mekhtiche Mohamed,Bencherif Mohamed,Fakih Taha Al,Al-Qershi Fattoh,Alrazghan Muna

Publisher

Scientific Research Publishing, Inc.

Reference45 articles.

1. Guendel, S., Ghesu, F.C., Grbic, S., Gibson, E., Georgescu, B., Maier, A. and Comaniciu, D. (2019) Multi-Task Learning for Chest X-Ray Abnormality Classification on Noisy Labels.

2. Alom, M.Z., Rahman, M., Nasrin, M.S., Taha, T.M. and Asari, V.K. (2020) COVID_ MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches. https://arxiv.org/abs/2004.03747

3. Farag, A.T., Abd El-Wahab, A.R., Nada, M., Abd El-Hakeem, M.Y., Mahmoud, O.S., Rashwan, R.K. and El Sallab, A. (2020) MultiCheXNet: A Multi-Task Learning Deep Network for Pneumonia-Like Diseases Diagnosis from X-Ray Scans. https://arxiv.org/abs/2008.01973

4. Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images

5. Classification of X-Ray Images for Pneumonia Detection Using Texture Features and Neural Networks

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