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1. #Open source nsfw image cleaner software#
2. #Open source nsfw image cleaner code#
3. #Open source nsfw image cleaner series#
4. #Open source nsfw image cleaner download#

Everyone gets some kind of combination of tests and treatments. Then, you have options for cancer treatments: surgery, radiation, chemotherapy, maintenance drugs. Some of these tests are self-exam, mammography, ultrasound, needle biopsy, genetic testing, or surgical biopsy.

#Open source nsfw image cleaner series#

Humans use a series of standard tests to generate a diagnosis, and AI is built on top of this diagnostic process. A computer generates a prediction-which is different from a diagnosis. A doctor looks at evidence and draws a conclusion. An AI takes in a static image, evaluates it relative to mathematical patterns found in the AI’s training data, and generates a prediction that parts of the image are mathematically similar to areas labeled (by humans) in the training data. A radiologist looks at multiple pictures of the affected area, reads a patient’s history, and may watch multiple videos taken from different perspectives. The reality of AI in medicine is far more mundane than one might imagine, and AI does not “diagnose” cancer the way a human doctor does. I’ve written before about this phenomenon, where unrealistic Hollywood conceptions of AI can cloud our collective understanding of how AI really works. I realized that I had imagined the AI would take in my entire chart and make a diagnosis, possibly with some dramatic gradually-appearing images like the scenes on Grey’s Anatomy where they discover a large tumor that creates a narrative complication and is solved by the end of the episode. “It looks like mucus,” Robinson said after looking at dozens of these images in order to set up the software. They are semi-circular images with light-colored blobs inside. Geras’s program takes two different views of a breast. Each cancer detection program works a little differently and uses a different specific set of variables.

#Open source nsfw image cleaner software#

I had assumed that the software would look at my entire medical record and evaluate whether I had cancer, like a doctor looks at a patient’s whole chart.

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After a few days of fiddling, Robinson got the code going. I sent the images to my research assistant, Isaac Robinson, who downloaded the detection code from Geras’ repository on GitHub, the code-sharing website. I was unimpressed with the EMR technology. On my Mac, I took a screenshot of the images in my EMR. I was nearly incandescent with frustration by this pointīack in my office, I resorted to the most low-tech strategy I could imagine. “Doctors’ offices keep CD drives for reading images,” she told me.

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How is there not an effective download method?” “I don’t have a CD drive,” I told the friendly person in tech support. They offered to send me a CD of the images. I got on the phone with tech support, escalated to the highest level, and nobody was interested in fixing the code or investigating. I called the hospital, which put me in touch with tech support for the portal system. I couldn’t check if the images were mine or this other person’s, because the download package didn’t have the necessary files to open the package on a Mac, which was my primary computer.Īfter a few days, I concluded that the download code was broken. The EMR offered me a download labeled with someone else’s name.

I tried to download the scans with the data anonymized, per the options. I saw my scans in my electronic medical record (EMR). I got a clean bill of health one year out, and because I was still curious about the AI that read my films, I decided to investigate what was really going on with breast cancer AI detection. Fast-forward a few months, and I was mercifully cancer-free and mostly recovered. My cancer experience could have been terrifying, but instead it was manageable. They were skilled at their jobs, and thoroughly professional. The doctors and nurses and staff who cared for me were fantastic. I immediately decided this was the surgeon for me, and I signed a form agreeing to an eight-hour operation.

This was why I was going to a trained professional. I felt grateful that this doctor was so expert and so eagle-eyed that they could spot a deadly growth in a sea of blobs. The cancerous area looked like a bunch of blobs to me. The black and white image showed a semicircle on a black background filled with spidery ducts, with a bright white barbell marking the spot of my diagnostic biopsy. There is no point in having an AI read it.” They waved at the nearby computer screen, which showed the inside of my breast. “Your cancer is visible to the naked eye. They actually snorted, thinking the idea was so absurd. “What a waste of time,” said the surgeon.