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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology
OSM El Nahhas, M van Treeck, G Wölflein, M Unger… - Nature …, 2025 - nature.com
Hematoxylin-and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis
of cancer. In recent years, development of deep learning-based methods in computational …
of cancer. In recent years, development of deep learning-based methods in computational …
[HTML][HTML] Applications of artificial intelligence in digital pathology for gastric cancer
S Chen, P Ding, H Guo, L Meng, Q Zhao… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Gastric cancer is one of the most common cancers and is one of the leading causes of
cancer-related deaths in worldwide. Early diagnosis and treatment are essential for a …
cancer-related deaths in worldwide. Early diagnosis and treatment are essential for a …
Predicting treatment response in multicenter non-small cell lung cancer patients based on federated learning
Y Liu, J Huang, JC Chen, W Chen, Y Pan, J Qiu - BMC cancer, 2024 - Springer
Background Multicenter non-small cell lung cancer (NSCLC) patient data is information-rich.
However, its direct integration becomes exceptionally challenging due to constraints …
However, its direct integration becomes exceptionally challenging due to constraints …
Swarm learning: A survey of concepts, applications, and trends
Deep learning models have raised privacy and security concerns due to their reliance on
large datasets on central servers. As the number of Internet of Things (IoT) devices …
large datasets on central servers. As the number of Internet of Things (IoT) devices …
Feddbl: Communication and data efficient federated deep-broad learning for histopathological tissue classification
Histopathological tissue classification is a fundamental task in computational pathology.
Deep learning (DL)-based models have achieved superior performance but centralized …
Deep learning (DL)-based models have achieved superior performance but centralized …
Integrating deep learning for accurate gastrointestinal cancer classification: a comprehensive analysis of MSI and MSS patterns using histopathology data
AA Wafa, RM Essa, AA Abohany… - Neural Computing and …, 2024 - Springer
Early detection of microsatellite instability (MSI) and microsatellite stability (MSS) is crucial in
the fight against gastrointestinal (GI) cancer. MSI is a sign of genetic instability often …
the fight against gastrointestinal (GI) cancer. MSI is a sign of genetic instability often …
Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging
OL Saldanha, J Zhu, G Müller-Franzes… - Communications …, 2025 - nature.com
Background Over the next 5 years, new breast cancer screening guidelines recommending
magnetic resonance imaging (MRI) for certain patients will significantly increase the volume …
magnetic resonance imaging (MRI) for certain patients will significantly increase the volume …
Artificial Intelligence in Gastrointestinal Cancer Research: Image Learning Advances and Applications
S Zhou, Y **e, X Feng, Y Li, L Shen, Y Chen - Cancer Letters, 2025 - Elsevier
With the rapid advancement of artificial intelligence (AI) technologies, including deep
learning, large language models, and neural networks, these methodologies are …
learning, large language models, and neural networks, these methodologies are …
Targeting amino acid metabolism to inhibit gastric cancer progression and promote anti-tumor immunity: a review
Y Jiang, Q Tao, X Qiao, Y Yang, C Peng… - Frontiers in …, 2025 - frontiersin.org
The incidence of gastric cancer remains high and poses a serious threat to human health.
Recent comprehensive investigations into amino acid metabolism and immune system …
Recent comprehensive investigations into amino acid metabolism and immune system …
Prediction of microsatellite instability from gastric histological images based on residual attention networks with non-local modules
SN Yu, SC Huang, WC Wang, YP Chang… - IEEE …, 2023 - ieeexplore.ieee.org
Gastric cancer can be classified into different subtypes according to their genetic expression.
Microsatellite instability (MSI) is one of these subtypes and an important clinical marker for …
Microsatellite instability (MSI) is one of these subtypes and an important clinical marker for …