1.Survey on natural language processing in medical image analysis.
Zhengliang LIU ; Mengshen HE ; Zuowei JIANG ; Zihao WU ; Haixing DAI ; Lian ZHANG ; Siyi LUO ; Tianle HAN ; Xiang LI ; Xi JIANG ; Dajiang ZHU ; Xiaoyan CAI ; Bao GE ; Wei LIU ; Jun LIU ; Dinggang SHEN ; Tianming LIU
Journal of Central South University(Medical Sciences) 2022;47(8):981-993
Recent advancement in natural language processing (NLP) and medical imaging empowers the wide applicability of deep learning models. These developments have increased not only data understanding, but also knowledge of state-of-the-art architectures and their real-world potentials. Medical imaging researchers have recognized the limitations of only targeting images, as well as the importance of integrating multimodal inputs into medical image analysis. The lack of comprehensive surveys of the current literature, however, impedes the progress of this domain. Existing research perspectives, as well as the architectures, tasks, datasets, and performance measures examined in the present literature, are reviewed in this work, and we also provide a brief description of possible future directions in the field, aiming to provide researchers and healthcare professionals with a detailed summary of existing academic research and to provide rational insights to facilitate future research.
Humans
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Natural Language Processing
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Surveys and Questionnaires
Result Analysis
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