Bioinformatics | Metabolomics | Oncology An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles. August 20, 2024
Artificial Intelligence in Healthcare | Pathology CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. June 9, 2023
Medical Imaging | Oncology | Pathology EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation. February 22, 2023
Computer Science | Pathology A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer. December 26, 2022
Pathology IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. February 5, 2022
Computer Science | Oncology | Pathology GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. January 11, 2022
Pathology Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. November 21, 2021