KansNet: Kolmogorov-Arnold Networks and multi slice partition channel priority attention in convolutional neural network for lung nodule detection.

A proposal-level class-aware graph convolutional network and memory bank for thyroid nodule detection in ultrasound videos.

Detecting thyroid nodules along with surrounding tissues and tracking nodules using motion prior in ultrasound videos.

SF2T:Leveraging Swin Transformer and Two-stream networks for lung nodule detection.

Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data.

CL-Flow: Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection.

Semantic Feature Integration network for Fine-grained Visual Classification.

Cross attention guided multi-scale feature fusion for false-positive reduction in pulmonary nodule detection.

A neuro-fuzzy network based impulse noise filtering for gray scale images.