A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images
Abstract The differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer (SCLC) is of crucial importance for determining optimum cancer treatment. Hematoxylin and Eosin (H&E)-stained slides of small tran...
Guardado en:
Autores principales: | Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Hiroaki Takeoka, Masaki Okamoto, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8bf0745302d44c8e91e19a40ae87f368 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Weakly-supervised learning for lung carcinoma classification using deep learning
por: Fahdi Kanavati, et al.
Publicado: (2020) -
Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning
por: Fahdi Kanavati, et al.
Publicado: (2021) -
Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning
por: Masayuki Tsuneki, et al.
Publicado: (2021) -
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy
por: Yoshiki Naito, et al.
Publicado: (2021) -
Indeterminate Colitis – Update on Treatment Options
por: Venkateswaran N, et al.
Publicado: (2021)