Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
M Kriegsmann, K Kriegsmann… - Clinical and …, 2023 - Wiley Online Library
Introduction Differentiation of histologically similar structures in the liver, including
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
M Kriegsmann, K Kriegsmann… - … medicine 13 7 - openscience.ub.uni-mainz.de
Introduction Differentiation of histologically similar structures in the liver, including
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis.
M Kriegsmann, K Kriegsmann… - Clinical & …, 2023 - search.ebscohost.com
Introduction: Differentiation of histologically similar structures in the liver, including
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis.
M Kriegsmann, K Kriegsmann, G Steinbuss… - Clinical and …, 2023 - europepmc.org
Materials and methods In the present study, we trained and evaluated deep learning
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
[HTML][HTML] Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
M Kriegsmann, K Kriegsmann, G Steinbuss… - Clinical and …, 2023 - ncbi.nlm.nih.gov
Materials and methods In the present study, we trained and evaluated deep learning
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
M Kriegsmann, K Kriegsmann… - Clinical and …, 2023 - search.proquest.com
Materials and methods In the present study, we trained and evaluated deep learning
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
M Kriegsmann, K Kriegsmann… - Clinical and …, 2023 - pubmed.ncbi.nlm.nih.gov
Introduction Differentiation of histologically similar structures in the liver, including
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …
Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis.
M Kriegsmann, K Kriegsmann, G Steinbuss… - Clinical and …, 2023 - europepmc.org
Materials and methods In the present study, we trained and evaluated deep learning
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …
algorithms based on the EfficientNetV2 and ResNetRS architectures to discriminate …