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DICOM files are typically quite large (in MBs). A better approach would be to upload it to an Amazon S3 bucket and then have your recognition model read it from S3. A bit of wiring will be require on your client side to sequence the multiple API calls together.
See: https://docs.aws.amazon.com/AmazonS3/latest/userguide/PresignedUrlUploadObject.html
回答済み 1年前
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As suggested in previous answers I had to use a pre-signed URL to upload large objects. I followed the architecture mentioned in this video.
It is essentially a serverless architecture where a Lambda function (behind and API endpoint) requests for a pre-signed URL, then returns it to the client and the client then uploads his object into an S3 bucket.
回答済み 1年前
excellent! if you could pls mark my answer as accepted so others will benefit as well.