304 - Augmentation of histology images​ to train stain-agnostic deep learning models

Code generated in the video can be downloaded from here:
github.com/bns...
All other code:
github.com/bns...
Random Stain Normalization and Augmentation (RandStainNA) is a hybrid framework designed to fuse stain normalization (SN) and stain augmentation (SA) to generate more realistic stain variations. It incorporates randomness to stain normalization by automatically sorting out a random virtual template from pre-estimated stain style distributions. More specifically, from the perception of SN’s viewpoint, stain styles ‘visible’ to the deep neural network are enriched in the training stage. Meanwhile, from the perception from the SA’s viewpoint, RandStainNA imposes a restriction on the distortion range and consequently, only a constrained practicable range is ‘visible’ to CNN.
github.com/yiq...
arxiv.org/abs/...

[@benoitchouinard4240]

I just subbed. This is a goldmine of a youtube channel.

[@ainsyazwani4778]

May god bless you, Sir. I am grateful to you for sharing your wisdom🥹

[@catoninetails789]

What do you about applying this method in the case when different images differ in color spaces not only because of tissue thickness, different laboratories and that kind of stuff, but because we actually use different stains for different cell types?

[@atharvaghodke1302]

Really great video as always. Can I make a request for you to look into time series forecasting with Vector Error Correction (VECM) method

[@DD-mz2fx]

Thanks a lot, sir, Can you teach how to web deploy TensorFlow unet segmentation model? It really helps fully because there are no videos for unet deployment.

[@atultiwari88]

Thank you very much for this video. Can you please make a video demonstrating its application on Whole slide image. I am unable to apply this on whole slide.

[@Asadkhan-nz6qm]

Sir great video , Sir i have a simple request can you please make a video on ViT for classification

[@Brickkzz]

Why LAB instead to HSV colorspace?

[@DigitalSreeni]

Nothing wrong in using HSV. But the staining patterns in histology images can vary significantly in terms of hue but they often have well-defined intensity / brightness characteristics. So LAB color space can be more suitable for distinguishing stains from the background as it emphasizes intensity differences.