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Deep Learning-based Image Recognition Technology in Medical Diagnosis

  
Feb 03, 2025

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Huang, S. C., Shen, L., Lungren, M. P., & Yeung, S. (2021). Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 3942-3951). Huang S. C. Shen L. Lungren M. P. Yeung S. ( 2021 ). Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition . In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 3942 - 3951 ). Search in Google Scholar

Shen, D., Wu, G., & Suk, H. I. (2017). Deep learning in medical image analysis. Annual review of biomedical engineering, 19(1), 221-248. Shen D. Wu G. Suk H. I. ( 2017 ). Deep learning in medical image analysis . Annual review of biomedical engineering , 19 ( 1 ), 221 - 248 . Search in Google Scholar

Lee, H., & Chen, Y. P. P. (2015). Image based computer aided diagnosis system for cancer detection. Expert Systems with Applications, 42(12), 5356-5365. Lee H. Chen Y. P. P. ( 2015 ). Image based computer aided diagnosis system for cancer detection . Expert Systems with Applications , 42 ( 12 ), 5356 - 5365 . Search in Google Scholar

Santosh, K. C., Antani, S., Guru, D. S., & Dey, N. (Eds.). (2019). Medical imaging: artificial intelligence, image recognition, and machine learning techniques. CRC Press. Santosh K. C. Antani S. Guru D. S. Dey N. (Eds.). ( 2019 ). Medical imaging: artificial intelligence, image recognition, and machine learning techniques . CRC Press . Search in Google Scholar

Liu, L., Wang, Y., & Chi, W. (2020). Image recognition technology based on machine learning. IEEE Access. Liu L. Wang Y. Chi W. ( 2020 ). Image recognition technology based on machine learning . IEEE Access . Search in Google Scholar

Dourado, C. M., da Silva, S. P. P., da Nobrega, R. V. M., Reboucas Filho, P. P., Muhammad, K., & de Albuquerque, V. H. C. (2020). An open IoHT-based deep learning framework for online medical image recognition. IEEE Journal on Selected Areas in Communications, 39(2), 541-548. Dourado C. M. da Silva S. P. P. da Nobrega R. V. M. Reboucas Filho P. P. Muhammad K. de Albuquerque V. H. C. ( 2020 ). An open IoHT-based deep learning framework for online medical image recognition . IEEE Journal on Selected Areas in Communications , 39 ( 2 ), 541 - 548 . Search in Google Scholar

Pandya, M. D., Shah, P. D., & Jardosh, S. (2019). Medical image diagnosis for disease detection: A deep learning approach. In U-Healthcare Monitoring Systems (pp. 37-60). Academic Press. Pandya M. D. Shah P. D. Jardosh S. ( 2019 ). Medical image diagnosis for disease detection: A deep learning approach . In U-Healthcare Monitoring Systems (pp. 37 - 60 ). Academic Press . Search in Google Scholar

Jakimovski, G., & Davcev, D. (2018, September). Lung cancer medical image recognition using Deep Neural Networks. In 2018 Thirteenth International Conference on Digital Information Management (ICDIM) (pp. 1-5). IEEE. Jakimovski G. Davcev D. ( 2018 , September ). Lung cancer medical image recognition using Deep Neural Networks . In 2018 Thirteenth International Conference on Digital Information Management (ICDIM) (pp. 1 - 5 ). IEEE . Search in Google Scholar

Kandula, A. R., Tamilarasi, K., & Maan, S. (2022). Deep Neural Network for Image Recognition In Medical Diagnosis. Journal of Pharmaceutical Negative Results, 13. Kandula A. R. Tamilarasi K. Maan S. ( 2022 ). Deep Neural Network for Image Recognition In Medical Diagnosis . Journal of Pharmaceutical Negative Results , 13 . Search in Google Scholar

Angelica, C., Purnama, H., & Purnomo, F. (2021, October). Impact of computer vision with deep learning approach in medical imaging diagnosis. In 2021 1st international conference on computer science and artificial intelligence (ICCSAI) (Vol. 1, pp. 37-41). IEEE. Angelica C. Purnama H. Purnomo F. ( 2021 , October ). Impact of computer vision with deep learning approach in medical imaging diagnosis . In 2021 1st international conference on computer science and artificial intelligence (ICCSAI) (Vol. 1 , pp. 37 - 41 ). IEEE . Search in Google Scholar

Guo, Z., Shen, Y., Wan, S., Shang, W. L., & Yu, K. (2021). Hybrid intelligence-driven medical image recognition for remote patient diagnosis in internet of medical things. IEEE journal of biomedical and health informatics, 26(12), 5817-5828. Guo Z. Shen Y. Wan S. Shang W. L. Yu K. ( 2021 ). Hybrid intelligence-driven medical image recognition for remote patient diagnosis in internet of medical things . IEEE journal of biomedical and health informatics , 26 ( 12 ), 5817 - 5828 . Search in Google Scholar

Wójcik, W., & Smolarz, A. (Eds.). (2017). Information technology in medical diagnostics. CRC Press. Wójcik W. Smolarz A. (Eds.). ( 2017 ). Information technology in medical diagnostics . CRC Press . Search in Google Scholar

Yasar, A., Saritas, I., & Korkmaz, H. (2019). Computer-aided diagnosis system for detection of stomach cancer with image processing techniques. Journal of medical systems, 43, 1-11. Yasar A. Saritas I. Korkmaz H. ( 2019 ). Computer-aided diagnosis system for detection of stomach cancer with image processing techniques . Journal of medical systems , 43 , 1 - 11 . Search in Google Scholar

Kumar, S. N., Lenin Fred, A., Padmanabhan, P., Gulyas, B., Ajay Kumar, H., & Jonisha Miriam, L. R. (2021). Deep learning algorithms in medical image processing for cancer diagnosis: Overview, challenges and future. Deep learning for cancer diagnosis, 37-66. Kumar S. N. Lenin Fred A. Padmanabhan P. Gulyas B. Ajay Kumar H. Jonisha Miriam L. R. ( 2021 ). Deep learning algorithms in medical image processing for cancer diagnosis: Overview, challenges and future . Deep learning for cancer diagnosis , 37 - 66 . Search in Google Scholar

Ker, J., Wang, L., Rao, J., & Lim, T. (2017). Deep learning applications in medical image analysis. Ieee Access, 6, 9375-9389. Ker J. Wang L. Rao J. Lim T. ( 2017 ). Deep learning applications in medical image analysis . Ieee Access , 6 , 9375 - 9389 . Search in Google Scholar

Summers, R. M. (2017). Deep learning and computer-aided diagnosis for medical image processing: a personal perspective. Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets, 3-10. Summers R. M. ( 2017 ). Deep learning and computer-aided diagnosis for medical image processing: a personal perspective . Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets , 3 - 10 . Search in Google Scholar

Sangeetha, S., Suruthika, S., Keerthika, S., Vinitha, S., & Sugunadevi, M. (2023, May). Diagnosis of pneumonia using image recognition techniques. In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1332-1337). IEEE. Sangeetha S. Suruthika S. Keerthika S. Vinitha S. Sugunadevi M. ( 2023 , May ). Diagnosis of pneumonia using image recognition techniques . In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1332 - 1337 ). IEEE . Search in Google Scholar

Razzak, M. I., Naz, S., & Zaib, A. (2018). Deep learning for medical image processing: Overview, challenges and the future. Classification in BioApps: Automation of decision making, 323-350. Razzak M. I. Naz S. Zaib A. ( 2018 ). Deep learning for medical image processing: Overview, challenges and the future . Classification in BioApps: Automation of decision making , 323 - 350 . Search in Google Scholar

Li, Y., Zhao, J., Lv, Z., & Li, J. (2021). Medical image fusion method by deep learning. International Journal of Cognitive Computing in Engineering, 2, 21-29. Li Y. Zhao J. Lv Z. Li J. ( 2021 ). Medical image fusion method by deep learning . International Journal of Cognitive Computing in Engineering , 2 , 21 - 29 . Search in Google Scholar

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