scoreMatrix = dict() # 3 scores X 4 sessions
scoreMatrix['daihuachen'] = np.array([[14, 24, 24, 37], [3, 10, 11, 13],
[9, 26, 25, 34]])
scoreMatrix['guojiye'] = np.array([[18, 37, 42, 59], [17, 44, 47, 54],
[32, 52, 60, 70]])
scoreMatrix['tanenci'] = np.array([[4, 13, 19, 29], [0, 2, 3, 13],
[16, 19, 19, 21]])
scoreMatrix['wangjingying'] = np.array([[4, 9, 9, 15], [0, 1, 1, 1],
[16, 17, 17, 17]])
for atlasName in atlasList:
atlasobj = atlas.get(atlasName)
ChanggungPatientNets = io_utils.loadSpecificNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'CS_subjects.txt'))
ChanggungHealthyNets = io_utils.loadSpecificNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'normal_subjects.txt'))
# testNets = io_utils.loadAllTemporalNets(mmdps_locale.ChanggungAllFullPath, 4, atlasobj, subjectList = os.path.join(mmdps_locale.ChanggungRootPath, 'SCI_incomplete_subjects.txt'))
testNets = io_utils.loadAllTemporalNets(
mmdps_locale.ChanggungAllFullPath,
4,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'CS_subjects.txt'),
specificTime={
The healthy dynamic networks were used to balance positive and negative ratio
"""
import os, json
import numpy as np
import mmdps_locale
from mmdps.proc import atlas, netattr
from mmdps_util import stats_utils, io_utils, result_utils
from sklearn import svm, model_selection
atlasobj = atlas.get('brodmann_lr')
# load specific nets as a list
ChanggungPatientNets = io_utils.loadSpecificNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'CS_subjects.txt'))
ChanggungHealthyNets = io_utils.loadRandomDynamicNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
totalNum=len(ChanggungPatientNets),
scanList=os.path.join(mmdps_locale.ChanggungRootPath, 'normal_scans.txt'))
testNets = io_utils.loadSpecificNets(mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(
mmdps_locale.ChanggungRootPath,
'CS_subjects.txt'),
timeCase=2)
ret[2] = precision
ret[3] = recall
ret[4] = specificity
return ret
if __name__ == '__main__':
outfile = open('result.txt', 'w', buffering=1)
for atlasName in atlasList:
atlasobj = atlas.get(atlasName)
outfile.write('processing atlas: %s\n' % atlasobj.name)
# load specific nets as a list
ChanggungPatientNets = io_utils.loadSpecificNets(
ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(ChanggungRootPath,
'SCI_incomplete_subjects.txt'))
totalIteration = 1000
numCPU = 6
with multiprocessing.Pool(processes=numCPU) as pool:
manager = multiprocessing.Manager()
managerQueue = manager.Queue()
fwrap = parabase.FWrap(func, managerQueue)
result = pool.map_async(
fwrap.run, [(atlasobj, ChanggungPatientNets)] * totalIteration)
ntotal = totalIteration
print('Begin proc, {} cpus, {} left, start at {}'.format(
numCPU, ntotal, datetime.datetime.now()))
nfinished = 0
scoreMatrix['xiangyan'] = np.array([[23, 27], [150, 158], [44, 47]])
scoreMatrix['mahuibo'] = np.array([[26, 31], [200, 200], [34, 43]])
scoreMatrix['caochangsheng'] = np.array([[40, 43], [190, 190], [64, 76]])
scoreMatrix['renjie'] = np.array([[45, 46], [72, 72], [60, 64]])
scoreMatrix['hanjunling'] = np.array([[33, 37], [184, 184], [68, 72]])
scoreMatrix['hushufang'] = np.array([[30, 39], [168, 168], [49, 50]])
scoreMatrix['liujinghui'] = np.array([[36, 40], [180, 180], [62, 67]])
scoreMatrix['hongqingfeng'] = np.array([[32, 35], [65, 110], [19, 23]])
scoreMatrix['panqingbin'] = np.array([[37, 38], [200, 204], [33, 33]])
atlasobj = atlas.get('bnatlas')
ChanggungPatientNets = io_utils.loadSpecificNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'SCI_pan_selected_all.txt'))
ChanggungHealthyNets = io_utils.loadSpecificNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'normal_subjects.txt'))
# Union of the first and second session
ChanggungPatientNets2 = io_utils.loadSpecificNets(
mmdps_locale.ChanggungAllFullPath,
atlasobj,
subjectList=os.path.join(mmdps_locale.ChanggungRootPath,
'SCI_pan_selected_all.txt'),
