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Found 3 papers, 3 papers with code
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Diagnosing different retinal diseases from Spectral Domain Optical Coherence Tomography (SD-OCT) images is a challenging task.
Ranked #1 on
Retinal OCT Disease Classification
on Srinivasan2014
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide.
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
With the introduction of Fully Convolutional Neural Network, which uses finer strides and utilizes deconvolutional layers for upsampling, it has been a go to for any image segmentation task.
Ranked #1 on
Scene Segmentation
on NYU Depth v2
