Dermatology Enhancing skin lesion segmentation with a fusion of convolutional neural networks and transformer models. May 29, 2024
Bioinformatics | Computational Biology | Genomics A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. May 17, 2024
Pathology Pan-cancer image segmentation based on feature pyramids and Mask R-CNN framework. March 4, 2024
Bioinformatics | Genomics | Oncology A deep-learning-based genomic status estimating framework for homologous recombination deficiency detection from low-pass whole genome sequencing. February 26, 2024
Computer Vision | Machine Learning Weakly supervised image segmentation beyond tight bounding box annotations. January 4, 2024
Medical Imaging | Oncology | Radiology RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance. October 13, 2023
Endocrinology | Oncology | Radiology A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients. July 12, 2023
Biomedical Engineering | Neurology Automatic Seizure Detection using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. April 4, 2023
Neurology Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals. October 30, 2022
Bioinformatics | Clinical Research | Proteomics PD-BertEDL: An Ensemble Deep Learning Method Using BERT and Multivariate Representation to Predict Peptide Detectability. October 30, 2022
Cardiology | Pulmonology | Radiology Deep feature-domain matching for cardiac-related component separation from image series of chest electrical impedance tomography: proof-of-concept study. October 20, 2022
Radiology An integrated AI model to improve diagnostic accuracy of ultrasound and output known risk features in suspicious thyroid nodules. October 18, 2021