To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
Object Detection on Road: Vehicle's Detection Based on Re-Training Models on NVIDIA-Jetson Platform. [PDF]
Ramos-Sanchez S +3 more
europepmc +1 more source
Graph neural network-based multi-label classification of breast cancer using multiparametric MRI and clinical features. [PDF]
Salehzehi S +7 more
europepmc +1 more source
Investigating object detection errors in endoscopic imaging of esophageal SCC and dysplasia through precision-recall analysis. [PDF]
Chang LJ +7 more
europepmc +1 more source
Multi-branch and multi-label tree species classification using deep learning for UAV aerial photography and Sentinel remote sensing images. [PDF]
Qin T, Zhao Q.
europepmc +1 more source
A novel two-stage deep learning approach for lung cancer using enhanced ResNet50 segmentation and LungSwarmNet classification. [PDF]
Omprakash K, Samiappan D.
europepmc +1 more source
Correction for Coste, The Kinship Formula: Inferring the numbers of all kin from any structured population projection model. [PDF]
europepmc +1 more source

