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...
Enregistré dans:
| Auteurs principaux: | Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Hiroaki Takeoka, Masaki Okamoto, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/8bf0745302d44c8e91e19a40ae87f368 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Weakly-supervised learning for lung carcinoma classification using deep learning
par: Fahdi Kanavati, et autres
Publié: (2020) -
Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning
par: Fahdi Kanavati, et autres
Publié: (2021) -
Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning
par: Masayuki Tsuneki, et autres
Publié: (2021) -
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy
par: Yoshiki Naito, et autres
Publié: (2021) -
Indeterminate Colitis – Update on Treatment Options
par: Venkateswaran N, et autres
Publié: (2021)