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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
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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.
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excellent! if you could pls mark my answer as accepted so others will benefit as well.