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Found 4 papers, 1 papers with code
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics
Visual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine vision pipelines (which are less straightforwardly interpretable/explainable to clinicians).
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks
However, since it is often not straight forward to obtain the labels in many application domains such as in medical image, classification-based approaches have become the de facto standard to perform the diagnosis.
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation
The proposed MVS-CNN outperforms and shows supremacy in terms of model accuracy, processing time, and segmentation accuracy.
Text-to-Image Generation with Attention Based Recurrent Neural Networks
Keywords: Generative image modeling, autoregressive image modeling, caption-based image generation, neural attention, recurrent neural networks.
