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Found 5 papers, 0 papers with code
Multi-Channel Feature Extraction for Virtual Histological Staining of Photon Absorption Remote Sensing Images
Experimental results reveal that specific combinations of features outperform the conventional channels by improving the labeling of tissue structures prior to model training.
Automated Whole Slide Imaging for Label-Free Histology using Photon Absorption Remote Sensing Microscopy
The field of histology relies heavily on antiquated tissue processing and staining techniques that limit the efficiency of pathologic diagnoses of cancer and other diseases.
Virtual Histological Staining of Label-Free Total Absorption Photoacoustic Remote Sensing (TA-PARS)
We use a Pix2Pix generative adversarial network (GAN) to develop visualizations analogous to H&E staining from label-free TA-PARS images.
K-Means for Noise-Insensitive Multi-Dimensional Feature Learning
Many measurement modalities which perform imaging by probing an object pixel-by-pixel, such as via Photoacoustic Microscopy, produce a multi-dimensional feature (typically a time-domain signal) at each pixel.
Improving Maximal Safe Brain Tumor Resection with Photoacoustic Remote Sensing Microscopy
Images obtained using this technique show comparable quality and contrast to the current standard for histopathological assessment of brain tissues.
