Loại tài liệu:    Chỉ tìm trong: 
331-340 trong số 453 kết quả
Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection
Tác giả: Dré Peeters, Kiran V Venkadesh, Renate Dinnessen, Zaigham Saghir, Ernst T Scholten, Rozemarijn Vliegenthart, Mathias Prokop, Colin Jacobs
Xuất bản: United States: Computers in biology and medicine , 2025
Bộ sưu tập: NCBI
ddc:  133
 
Unveiling encephalopathy signatures: A deep learning approach with locality-preserving features and hybrid neural network for EEG analysis
Tác giả: Jisu Elsa Jacob, Sreejith Chandrasekharan, Thomas Iype, Ajith Cherian
Xuất bản: Ireland: Neuroscience letters , 2025
Bộ sưu tập: NCBI
ddc:  025.3177
 
Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
Tác giả: Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek
Xuất bản: United States: Experimental & molecular medicine , 2025
Bộ sưu tập: NCBI
ddc:  011.8
 
DKCN-Net: Deep kronecker convolutional neural network-based lung disease detection with federated learning
Tác giả: Anudeep Meda, Leema Nelson, Mukta Jagdish
Xuất bản: England: Computational biology and chemistry , 2025
Bộ sưu tập: NCBI
ddc:  149.91
 
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Tác giả: Li-Chiu Chang, Fi-John Chang, Ming-Ting Yang
Xuất bản: England: Journal of environmental management , 2025
Bộ sưu tập: NCBI
ddc:  230.071
 
A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences
Tác giả: Sk Tanzir Mehedi, Lway Faisal Abdulrazak, Kawsar Ahmed, Fahad Ahmed Al-Zahrani, Francis M Bui, Li Chen, Mohammad Ali Moni, Muhammad Shahin Uddin
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  415.0184
 
A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma
Tác giả: Ahmed Gomaa, Siming Bayer, Christoph Bert, Katharina Breininger, Roland Coras, Daniel Delev, Anna-Jasmina Donaubauer, Arnd Dörfler, Rainer Fietkau, Benjamin Frey, Udo S Gaipl, Peter Hau, Dieter H Heiland, Yixing Huang, Andreas Maier, Florian Putz, Manuel A Schmidt, Charlotte Schmitter, Oliver Schnell, Stephan Schönecker, Sabine Semrau, Pluvio Stephan, Jenny Stritzelberger
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  025.525
 
Significance of multi-task deep learning neural networks for diagnosing clinically significant prostate cancer in plain abdominal CT
Tác giả: Yujun Geng, Jingwen Li, Xiaofen Ma, Junzhang Tian, Meng Yang, Ming Zhang, Xinlei Zhang
Xuất bản: Switzerland: Frontiers in oncology , 2025
Bộ sưu tập: NCBI
ddc:  332.64
 
The potential use of deep learning in performing autocorrection of setup errors in patients receiving radiotherapy
Tác giả: A Muhammed, M Hassan, W Soliman, A Ibrahim, S H Abdelaal
Xuất bản: Netherlands: Radiography (London, England : 1995 , 2025
Bộ sưu tập: NCBI
ddc:  028.7
 
APNet, an explainable sparse deep learning model to discover differentially active drivers of severe COVID-19
Tác giả: George I Gavriilidis, Vasileios Vasileiou, Stella Dimitsaki, Georgios Karakatsoulis, Antonis Giannakakis, Georgios A Pavlopoulos, Fotis Psomopoulos
Xuất bản: England: Bioinformatics (Oxford, England , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 

Truy cập nhanh danh mục