for idx, row in sirm_csv.iterrows():
patientid = row['FILE NAME']
print(patientid)
print(patientid[patientid.find('(')+1:patientid.find(')')])
if row['URL'] not in cohen and patientid[patientid.find('(')+1:patientid.find(')')] not in discard:
but this part:
patientid[patientid.find('(')+1:patientid.find(')')] not in discard:
doesn't actually do anything because there are no parenthesis in the patient ID's in the latest version of the sirm dataset metadatafile.
furthermore, all the patientIDs in the 'discard' list all appear in the text file for covidx8a as well so they seem to be a part of the training label sets. what is the reason for discarding this images in the first place?
these lines seem to be meant to discard certain patients in the sirm dataset from the COVIDx dataset
discard = ['100', '101', '102', '103', '104', '105', '110', '111', '112', '113', '122', '123', '124', '125', '126', '217']
for idx, row in sirm_csv.iterrows(): patientid = row['FILE NAME'] print(patientid) print(patientid[patientid.find('(')+1:patientid.find(')')]) if row['URL'] not in cohen and patientid[patientid.find('(')+1:patientid.find(')')] not in discard:
but this part: patientid[patientid.find('(')+1:patientid.find(')')] not in discard:
doesn't actually do anything because there are no parenthesis in the patient ID's in the latest version of the sirm dataset metadatafile.
furthermore, all the patientIDs in the 'discard' list all appear in the text file for covidx8a as well so they seem to be a part of the training label sets. what is the reason for discarding this images in the first place?