Qiangguo Jin
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View article: Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation Open
View article: CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering Open
Medical visual question answering (Med-VQA) is a crucial multimodal task in clinical decision support and telemedicine. Recent self-attention based methods struggle to effectively handle cross-modal semantic alignments between vision and l…
View article: TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes Open
Molecular subtyping of cancer is recognized as a critical and challenging upstream task for personalized therapy. Existing deep learning methods have achieved significant performance in this domain when abundant data samples are available.…
View article: Prototype as query for few shot semantic segmentation
Prototype as query for few shot semantic segmentation Open
Few-shot Semantic Segmentation (FSS) was proposed to segment unseen classes in a query image, referring to only a few annotated examples named support images. One of the characteristics of FSS is spatial inconsistency between query and sup…
View article: Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones Open
The precise diagnosis of urinary stones is crucial for devising effective treatment strategies. The diagnostic process, however, is often complicated by the low contrast between stones and surrounding tissues, as well as the variability in…
View article: Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation Open
View article: Lightweight Strawberry Instance Segmentation on Low-Power Devices for Picking Robots
Lightweight Strawberry Instance Segmentation on Low-Power Devices for Picking Robots Open
Machine vision plays a great role in localizing strawberries in a complex orchard or greenhouse for picking robots. Due to the variety of each strawberry (shape, size, and color) and occlusions of strawberries by leaves and stems, precisel…
View article: Cross-Channel and Regional Node Relation Enhanced Hybrid Graph Convolution Transformer for Ct Segmentation
Cross-Channel and Regional Node Relation Enhanced Hybrid Graph Convolution Transformer for Ct Segmentation Open
View article: Prototype as Query for Few Shot Semantic Segmentation
Prototype as Query for Few Shot Semantic Segmentation Open
Few-shot Semantic Segmentation (FSS) was proposed to segment unseen classes in a query image, referring to only a few annotated examples named support images. One of the characteristics of FSS is spatial inconsistency between query and sup…
View article: Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images Open
View article: Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Free-form tumor synthesis in computed tomography images via richer generative adversarial network Open
View article: RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans
RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans Open
Automatic extraction of liver and tumor from CT volumes is a challenging task due to their heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks have become popular in medical image segmentation tasks because …
View article: DUNet: A deformable network for retinal vessel segmentation
DUNet: A deformable network for retinal vessel segmentation Open