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Found 6 papers, 2 papers with code
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
The proposed solution has been evaluated using the DRIVE, CHASE-DB1, and STARE datasets, and competitive results are obtained when compared with previous studies.
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images
In recent years, computer-aided diagnosis systems have shown great potential in assisting radiologists with accurate and efficient medical image analysis.
Ranked #4 on
Object Detection
on GRAZPEDWRI-DX
Medical Image Captioning via Generative Pretrained Transformers
The proposed model is tested on two medical datasets, the Open-I, MIMIC-CXR, and the general-purpose MS-COCO.
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging
Image corruption by motion artifacts is an ingrained problem in Magnetic Resonance Imaging (MRI).
DASHA: Decentralized Autofocusing System with Hierarchical Agents
State-of-the-art object detection models are frequently trained offline using available datasets, such as ImageNet: large and overly diverse data that are unbalanced and hard to cluster semantically.
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
To accelerate MRI, the field of compressed sensing is traditionally concerned with optimizing the image quality after a partial undersampling of the measurable $\textit{k}$-space.
