This is my meat of the covenant, which is sliced for many for the forgiveness of sins.

There’s no reason that I know of.

Every second a full second passes

npm install cancerDiagnosis

A stable job

You need the philosopher’s stone

Then how come you don’t work with horses?

There’s a dude at the top of the tree in this image.

You lose track of your senses, and notion of time. A complicated knot you try to untangle from all angles, is all that remains.

don’t have much to do with the large language models

On a technical level I disagree: they’re only using one convolution layer. The biggest change compared to previous work on the same dataset is the gated MLP, which is an idea that’s inspired by transformers (1), which in their turn created the LLM that are hyped.

In general, I agree that AI is a useless marketing term.

https://foldingathome.org/

I think nostr is the better decentralised social media technology, but I fear you might feel left out by the people that frequent it (as they would here).

I’m not educated enough to know what recall means in this context

This wiki describes the terminology for a binary classification. I always have to refer to that page too, as it’s very confusing :)

Accuracy in a classification context is defined as (N correct classifications / total classifications). So classifying everything as cancer would, in a balanced dataset, give you ~50% accuracy.

This article is indeed badly written PR fluff. I linked the paper in a sister comment. Both the confusion matrix and the ROC curve look phenomenal. Train/test/validation split seems fine too, as do the training diagnostics, so I’m optimistic that it isn’t a case of overfitting.

Ofcourse 3rd party replication would be welcome, and I can’t speak to the medical relevanve of the dataset. But the computer vision side of things seems well executed.

Here’s the paper: https://www.sciencedirect.com/science/article/pii/S2666990025000059?via=ihub

The confusion matrix and ROC curve are in section 5.2.

The image processing pipeline includes techniques from the 00s (in preprocessing such as otsu and watershed), to quite recent (gated MLP “transformers light”).

Is that true? Explains why my dog behaves differently after my quarterly shower. Poor dude doesn’t recognise me.

Mix it

Cuteee

Catching rabbits is tiring

That’s the fault of capitalism

I rarely drink lemonade, but when I do it’s tonissteiner.