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Found 9 papers, 2 papers with code
MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
Reliable automatic diagnosis of Diabetic Retinopathy (DR) and Macular Edema (ME) is an invaluable asset in improving the rate of monitored patients among at-risk populations and in enabling earlier treatments before the pathology progresses and threatens vision.
Multi-domain learning CNN model for microscopy image classification
In this paper, we present a multi-domain learning architecture for the classification of microscopy images that differ significantly in types and contents.
Improving the quality of dental crown using a Transformer-based method
To this end, we use a geometry-aware transformer to generate dental crowns.
Semi-supervised segmentation of tooth from 3D Scanned Dental Arches
In the dental field, the variability of input data is high and there are no publicly available 3D dental arch datasets.
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
Finally, we provide an in-depth analysis of the effect of the deformable convolutions, bringing elements of discussion on the behavior of CNN models.
Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis
For this reason, we perform a cross-modality synthesis between MR and CT domains for simple thresholding-based segmentation of the vertebral bones.
End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences
Dynamic reconstructions (3D+T) of coronary arteries could give important perfusion details to clinicians.
Joint segmentation and classification of retinal arteries/veins from fundus images
Results The method achieves an accuracy of 94. 8% for vessels segmentation.
Memory Efficient Multi-Scale Line Detector Architecture for Retinal Blood Vessel Segmentation
This paper presents a memory efficient architecture that implements the Multi-Scale Line Detector (MSLD) algorithm for real-time retinal blood vessel detection in fundus images on a Zynq FPGA.
