medical

I have a radiograph .img file without the header file. However, the researchers who have published the file have given this information about it High resolution (2048 x 2048 matrix size, 0.175mm pixel size) Wide density range (12bit, 4096 gray scale) Universal image format (no header, big-endian raw data) Using this information, I tried fread command in Matlab to read the image into Matlab. fid = fopen('image.img','r','B'); oneSlice = fread(fid, [2048 2048], '*uint8','B'); imshow(oneSlice) However the resulting image is coming up as incorrect. Is there something that I am doing wrong ? Could

I am looking for a complete list of ICD-9 Codes (Medical Codes) for Diseases and Procedures in a format that can be imported into a database and referenced programmatically. My question is basically exactly the same as Looking for resources for ICD-9 codes , but the original poster neglected to mention where exactly he "got ahold of" his complete list. Google is definitely not my friend here as I have spent many hours googling the problem and have found many rich text type lists (such as the CDC) or websites where I can drill down to the complete list interactively, but I cannot find where to

I have a radiograph .img file without the header file. However, the researchers who have published the file have given this information about it High resolution (2048 × 2048 matrix size, 0.175mm pixel size) Wide density range (12-bit, 4096 gray scale) Universal image format (no header, big-endian raw data) I am trying to open the file using Python but unable to do so. Could someone suggest any method to read this image file? I found some radiograph images, like yours, by downloading the JSRT database . I have tested the following code on the first image of this database: JPCLN001.IMG. import

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I need to extract Gleason scores from a flat file of prostatectomy final diagnostic write-ups. These scores always have the word Gleason and two numbers that add up to another number. Humans typed these in over two decades. Various conventions of whitespace and modifiers are included. Below is my Backus-Naur form so far, and two example records. Just for prostatectomies, we're looking at upwards of a thousand cases. I am using pyparsing because I'm learning python, and have no fond memories of my very limited exposure to regex writing. My question: how can I pluck out these Gleason grades