Context-enhanced framework for medical image report generation using multimodal contexts.

Breast tumor segmentation via deep correlation analysis of multi-sequence MRI.

A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets.

Channel Self-Attention Based Low-Light Image Enhancement Network.

Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation.

Adaptive denoising for magnetic resonance image based on nonlocal structural similarity and low-rank sparse representation.

Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network.

Two Path Gland Segmentation Algorithm of Colon Pathological Image Based on Local Semantic Guidance.

CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays.

Feature generation and multi-sequence fusion based deep convolutional network for breast tumor diagnosis with missing MR sequences.

Temporal-based Swin Transformer network for workflow recognition of surgical video.

Deep learning for depression recognition with audiovisual cues: A review.

DCE-MRI interpolation using learned transformations for breast lesions classification.

Hard frame detection for the automated clipping of surgical nasal endoscopic video.

Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI.

Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy.

Multi-Granular Semantic Analysis Based on Nasal Endoscopic Video.

Breast mass classification via deeply integrating the contextual information from multi-view data.

An Interactive Task Analysis Framework and Interactive System Research for Computer Aided Diagnosis.