Genetics | Machine Learning | Oncology Adap-BDCM: Adaptive Bilinear Dynamic Cascade Model for Classification Tasks on CNV Datasets. May 17, 2024
Bioinformatics | Oncology Classifying breast cancer using multi-view graph neural network based on multi-omics data. March 6, 2024
Bioinformatics | Machine Learning | Oncology A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection. December 15, 2023
Oncology | Pathology | Radiology Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification. October 14, 2023
Biomedical Engineering | Oncology Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning. September 27, 2023
Oncology | Pathology DeepHistoNet: A robust deep-learning model for the classification of hepatocellular, lung, and colon carcinoma. September 26, 2023
Pathology CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images. August 14, 2023
Cancer | Transcriptomics GAN-based data augmentation for transcriptomics: survey and comparative assessment. June 30, 2023
Computational Biology | Oncology CustOmics: A versatile deep-learning based strategy for multi-omics integration. March 6, 2023
Bioinformatics | Machine Learning | Oncology Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review. February 25, 2023
Bioinformatics | Machine Learning | Oncology GeneViT: Gene Vision Transformer with Improved DeepInsight for cancer classification. February 21, 2023
Oncology | Pathology Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features. January 22, 2023