Key | Value |
---|---|
FileSize | 347024 |
MD5 | DBE6F2B94B01DE6993764DC3184F27D8 |
PackageDescription | DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. |
PackageMaintainer | NeuroDebian Team <team@neuro.debian.net> |
PackageName | python-pydicom-doc |
PackageSection | doc |
PackageVersion | 1.2.1-1 |
SHA-1 | 0F1FA3F857840BBCDF2BFFE20F47A15CAB480C7E |
SHA-256 | E4824C32E55BB943C3030DB90E636966EF20A6EF5576250C1C287D85FAFAFCF0 |
hashlookup:children-total | 150 |
hashlookup:trust | 50 |
The searched file hash includes 150 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_sources/writing_files.rst.txt |
FileSize | 4437 |
MD5 | 4765E9EA5F445A6DBD70F2BF9CA88275 |
SHA-1 | 00B8619F164160BD0FFD89C93FB2F2D5FAB1A1D3 |
SHA-256 | 19F2E52F627C122C56C94648DA0C69B62FA7CA8DEA10C76E175C4CDC39D64F2A |
SSDEEP | 96:vYqN24/apeNrZXsFtbgOcwP6TVtcJ4EZWRLADqz45:vc4/apeRuLbKKJ4ald5 |
TLSH | T1EE91652BBF8853760706C1F1362F91AEC79DE4BD932141905C19D268612AB35D2FEAE8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_sequences.rst.txt |
FileSize | 2453 |
MD5 | C2F435867620E8C2B1F10F879A25A676 |
SHA-1 | 00FF8A0D7343C61552672CD5E0B2FC778BC188B3 |
SHA-256 | 5B69E528A86B355B4F77BC2AFB756A38620802A69233A394AFD4AF36B8C2184E |
SSDEEP | 48:nvapiRlJd/YxRKHE5V8KZHIt55+n97ZpuDdFGebJuDdFGe9RnP1i:vaUjY/aE5mKZYMnRZpWFGebJWFGeHPQ |
TLSH | T15A515E9DB733C9A2638124EC4EDA00932646967BE3E64D91307CC2507F2CF6AF0E0627 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_modules/pydicom/dataset.html |
FileSize | 168619 |
MD5 | 3286EB25161AC54F2728A3D84A7A090A |
SHA-1 | 0148543AE2BAEDE33E2F622D3D81176C9098093D |
SHA-256 | 32A1855AF0999772BD8448A881FA90512D3DDD385F1F90BB1B1A80D479438CEB |
SSDEEP | 1536:BNXgj+Pk2MAsInv6oI20zrThD7nh3ObUpJ6ktDxnD3AlSHVJ7PpHNSBLln/aBAi/:82MfikKqErG37JB |
TLSH | T1B0F305D0AAFB9173017BD4C311AF0B66B5E1552AE89A054073FE87B80BECD443857DAE |
Key | Value |
---|---|
CRC32 | 2994D00B |
FileName | ./usr/share/doc/libjansson-dev/html/_static/basic.css |
FileSize | 10716 |
MD5 | 15D1E868D422EE4310EA0F7C9673E511 |
OpSystemCode | 362 |
ProductCode | 202888 |
RDS:package_id | 263918 |
SHA-1 | 0301E1C6EB69EFC045769357C0CE71F113BD0905 |
SHA-256 | B61FC4383784CA3FF8589A1BB48D19D06FDDC78D6120CBC9AD31F275F62F4CCE |
SHA-512 | A8271A032D4B3A072799C09225AF1CE092FF548866E82654608FB6D1B4DFF7611B1EFAF79952DE5352AFA2E6DB7EDF29855574584DE9736439A6AFB32D0736F5 |
SSDEEP | 192:MfhSd4okIES4yJk+KdD4FA1jraTQtZvErKR1jWRZ4Enx+ociFaao2wBWApJEtULe:rd4okIES4yJk+ED4FAZrcQtZvErWWZ4o |
SpecialCode | |
TLSH | T1412251155EF31C22E98AC667BAFDD661F25D00530E4EC87D7E582358CF4579881AEB0C |
db | nsrl_modern_rds |
insert-timestamp | 1659221326.3719895 |
mimetype | text/plain |
source | snap:frGDfj3qOH3kiCeCe7L0ImjFLxK6uBtw_4 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_anonymize.rst.txt |
FileSize | 3935 |
MD5 | BFEED21CCC5C08943FC2912370190707 |
SHA-1 | 03E0CE9E0A56E31D2B2FE84B08BA43A802BD3571 |
SHA-256 | 101C122AD3B97F36070D36037D11C9B0DD31B6D56E82B328FEE6F2C7CC5DB50D |
SSDEEP | 96:vmA1wFX6lriR2X0hX7afURRBWSj/YvFXqQc+QtFpWFGebBWFGefPQ:qFKfKaFzFG/FGMPQ |
TLSH | T1418153B8F3118170D35B70F8C4EF415B6329B007EF534519742C9A885F59AA9B1B5F87 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/api_ref.html |
FileSize | 367259 |
MD5 | 0A0CAF738A327F0B8C14A3D42E3661D0 |
SHA-1 | 056891EEA13BE43575C31D5AAF503E487138DB64 |
SHA-256 | 4CA5E17539640881B19DDB3B930FC76EBEB64C9AC7077B883A037CA79DC858C0 |
SSDEEP | 6144:iDMEOGxJT5ONsdWwRp5S5ZYVSAmWTTfeuWQoVH6TYk9dM94smHE/kTSo1:81 |
TLSH | T11C748415A1E20637063751D5C7AD1F39B1EAA02EE2520495D6FCD77E878ECC1F03BA2A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_modules/pydicom/multival.html |
FileSize | 17067 |
MD5 | 00D9788C40E968BD33471429ED84A8C6 |
SHA-1 | 05818D9E53F744982EF4FC20F8E7EE2C070AB1B8 |
SHA-256 | ED2CF827B166683FFEEA4CC47E5FE738D20BC5FC8BBBDBF4108DDF4745387659 |
SSDEEP | 192:GTUEbvE7EaEEPJIEdnvPo/TPgib9gSrG/BNNRXNYCWHNvNvfTIClrVwEGordHrJE:GTUELE7E3EPJIEdvPo/TIibSMDsac |
TLSH | T1477299C0A9FB9477017794D352BF0B26B5E1442AE99A0940B3FD87780BECE543817DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_sources/whatsnew/v1.2.0.rst.txt |
FileSize | 3694 |
MD5 | 132D4828D928F65FCDE2C6B31B612287 |
SHA-1 | 076196B5F349C602497F9F76267CFE89F18AE211 |
SHA-256 | 45936CB39990A1DDD6F69AA2AC682CF1FF3CC4106F913C3205CCABD45C64E943 |
SSDEEP | 96:E0nD0vQqGSgVHSKvbJ8jrEo5cmwLVS35VP2:rwQXPHS6kv5cNQH+ |
TLSH | T1BC7168AE795A3762BFC601F0792931B78F6CF5347F34965040EA024D611CDABB12F248 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_downloads/plot_anonymize.ipynb.gz |
FileSize | 1266 |
MD5 | 5567B23115B62A21895AC9DC0ECFC1FF |
SHA-1 | 08A91D0D902B0F74288BF47D898F083AB89D85BD |
SHA-256 | 972FDA3EA2DCAA31306162459CB37F82A36BD7C0770DC2932FDF7594B8F1E86A |
SSDEEP | 24:XdtRFWUxNcpXodN/QoNJApN5uk8BQu2peWFv9e2ZYJmVpaW2+JUpl/:XdzFWUpQoSN5uk8SuMzntBit |
TLSH | T1FA21B7A968B840277D35F634B35584F94096AD6345EBD42F5CEA8E9160C6D00CCECBF3 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydicom-doc/html/_downloads/plot_dicom_difference.ipynb |
FileSize | 1987 |
MD5 | F41FB77A2092BA1AC3117B61EFCCB23F |
SHA-1 | 08D976F4097E013395ACADD428B44F6C8EE45A3C |
SHA-256 | 550C3612CC230809A18DB5A78E60DC55DD2860BB3F32C44CFB3F5981041B9C90 |
SSDEEP | 24:uH3kpHVOriiq1H3n5b0rQqpLUrzGahKHjuN5IKqfL/ecvZMiA93XroTWAOp1N91:u410iiq135bGYKHjUqz/eyZQXg5Ob1 |
TLSH | T12241E010E4E4DC7393993868189D9A81B13579974E447C09BFBC451C3F1D92DB0B5BBD |