Survey on natural language processing in medical image analysis. / èªç¶è¯è¨å¤çå¨å»å¦å½±ååæä¸çåºç¨.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
; 47(8): 981-993, 2022 Aug 28.
Article
en En, Zh
| MEDLINE
| ID: mdl-36097765
ABSTRACT
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.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Procesamiento de Lenguaje Natural
Límite:
Humans
Idioma:
En
/
Zh
Revista:
Zhong Nan Da Xue Xue Bao Yi Xue Ban
Asunto de la revista:
MEDICINA
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos