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NTIS 바로가기한국정보전자통신기술학회논문지 = Journal of Korea institute of information, electronics, and communication technology, v.16 no.2, 2023년, pp.87 - 96
변경근 (IT Policy and Management, Soongsil University) , 이덕규 (IT Policy and Management, Soongsil University) , 이세영 (IT Policy and Management, Soongsil University)
Recently, research on predicting the treatment results of diseases using deep learning technology is also active in the medical community. However, small patient data and specific deep learning algorithms were selected and utilized, and research was conducted to show meaningful results under specifi...
K. K. Byun, D. G. Lee, and Y. T. Shin, "A?Study on the Prediction of Mortality Rate?after Lung Cancer Diagnosis for the Elderly?in their 80s and 90s Based on Deep?Learning," Annual Spring Conference of?KIPS, 29.1, pp. 452-455, 2022.
2021 Cause of Death Statistics, National?Statistical Office, 2022.
Major Cancer Mortality, National Cancer?Information Center, 2022.
Alshmrani, Goram Mufarah M., et al. "A?deep learning architecture for multi-class?lung diseases classification using chest?X-ray (CXR) images." Alexandria Engineering?Journal pp. 923-935, Nol. 64, 2023.
Bhattacharya, Debdatta, et al. "Classification?of Healthy and Diseased Lungs by?Pneumonia Using X-Rays and Gene?Sequencing With Deep Learning?Approaches." Smart Technologies in Data?Science and Communication. Springer,?Singapore, pp. 189-196, 2023.
Cheng, Nitao, et al. "Inferring?cell-type-specific genes of lung cancer based on deep learning." Current Gene?Therapy pp. 439-448, Vol. 22, No.5, 2022.
Jin-ah Sim., Young Ae Kim., Ju Han Kim.,?Jong Mog Lee., Moon Soo Kim., Young Mog?Shim., Jae Ill Zo., Young Ho Yun., The?major effects of health-related quality of?life on 5-year survival prediction among?lung cancer survivors: applications of?machine learning, Scientific Reports, Vol?10, No. 10693, 2020.
Sehwa Moon, Janghwan Choi, Prediction of recurrence of lung cancer using deep?learning-based circulatory tumor cells, The?2020 Spring Conference of the Korean?Mechanical Society, pp 54-54, Aug. 2020.
Nicolas Coudray., Paolo Santiago Ocampo.,?Theodore Sakellaropoulos., Navneet Narula.,?Matija Snuderl., David Fenyo., Andre L?Moreira., Narges Razavian., Aristotelis?Tsirigos., Hyperparameter Tuning and?Pipeline Optimization via Grid Search?Method and Tree-Based AutoML in Breast?Cancer Prediction, Nat Med, pp 1559-1567,?Vol. 24, No. 10, Oct. 2018.
Ahmed S Sultan., Mohamed A Elgharib.,?Tiffany Tavares., Maryam Jessri., John R?Basile., The use of artificial intelligence,?machine learning and deep learning in?oncologic histopathology, Journal Oral?Pathol Med. 2020 Oct;49(9):849-856.
Shigao Huang., Jie Yang., Simon Fong., Qi?Zhao., Artificial intelligence in cancer diagnosis and prognosis: Opportunities and?challenges, Cancer Lett, pp. 61-71, Vol. 28,?No. 471, Feb. 2020.
Jieun Kil., Kwang Gi Kim., Young Jae?Kim., Hye Ryoung Koo., Jeong Seon Park.,?Deep Learning in Thyroid Ultrasonography?to Predict Tumor Recurrence in Thyroid?Cancers, Journal Korean Soc Radiol, pp.?1164-1174, Vol. 81, No. 5, 2020.
Ahmed Hosny., Chintan Parmar., Thibaud?P Coroller., Patrick Grossmann., Roman?Zeleznik., Avnish Kumar., Johan Bussink.,?Robert J Gillies., Raymond H Mak., Hugo J?W L Aerts., Deep learning for lung cancer prognostication: A retrospective?multi-cohort radiomics study, PLoS Med.?e1002711, Vol. 30, No.15, Nov. 2018.
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