Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images
Accurate classification of cancer is directly related to the choice of treatment options and prognosis. Pathological diagnosis is the gold standard for cancer diagnosis. The digitalization of pathological images and breakthroughs in deep learning have made computer-aided diagnosis and prediction abo...
Guardado en:
Autores principales: | YAN Rui, CHEN Limeng, LI Jintao, REN Fei |
---|---|
Formato: | article |
Lenguaje: | ZH |
Publicado: |
Editorial Office of Medical Journal of Peking Union Medical College Hospital
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8d286a1c33364bde8c4e0ff3e8bf4912 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods
por: Saqib Ali, et al.
Publicado: (2021) -
Multi-View Feature Fusion Based Four Views Model for Mammogram Classification Using Convolutional Neural Network
por: Hasan Nasir Khan, et al.
Publicado: (2019) -
Development of a Deep Learning Model to Assist With Diagnosis of Hepatocellular Carcinoma
por: Shi Feng, et al.
Publicado: (2021) -
Machine Learning Model for Intracranial Hemorrhage Diagnosis and Classification
por: Sundar Santhoshkumar, et al.
Publicado: (2021) -
Prognostic analysis of oral cancer based on deep learning
por: TAO Qian, et al.
Publicado: (2022)