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COMP0172 computer
Creation date：2024-04-29 15:36:55
Belonging category：计算机computer science
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AI4BH – COMP0172


Geoffrey Hinton, one of the most prominent computer scientists and deep learning expert
said in 2016: “We should stop training radiologists now. It's just completely obvious that
within five years, deep learning is going to do better than radiologists”.

He further argued that “Any old problem where you have to predict something and you have
a lot of data, deep learning is probably going to make it work better than the existing
techniques”. We are in 2022 and there is a lot of evidence of the potential of deep learning.
In this coursework you are asked to comment on G. Hinton’s statement. Should we stop
training radiologists?

More specifically, you are asked to write a 2000 - 2500 words essay structured as follows:


Context (10%): What is radiology? What kind of techniques are used in radiology? What
does a radiologist do?

Rationale (10%): What are some of the current challenges (2 at least) in radiology that
would benefit from machine learning?

Argumentation (20%):
Pro: Can you give some arguments in favour of G.H. statement? (2 arguments)
Cons: What about against? (2 arguments)

Andrew Ng, another pioneer of modern machine learning said: “I want to live in an AI-
powered society. When anyone goes to see a doctor, I want AI to help that doctor provide
higher quality and lower cost medical service.”

Comment (10%):
What does A.N. mean by that? How can AI increase quality of care while lowering costs in
radiology?

Robustness (20%): What are the current challenges in deploying deep learning solutions for
radiology in clinical practice (3 challenges at least)?
How would you tackle those challenges? (Unlimited data is not an option).

Fairness (10%): Explain how machine learning solutions for radiology can be unfair? Why
would that happen? How would you stop it from happening? (More data is not an option)

Ethics (10%): What ethical consideration should be considered?
Example: what are the potential dangers of private companies having access to radiology
data? What about AI models able to identify sensitive attributes from radiology images?

Overall presentation (10%)

References:

You need to defend your statements with references and, if required, you need to describe
the technical solutions. Below are a few papers related to the topic, but you are more than
welcome to find your own or use others such as the suggested readings from the lectures.
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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 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MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A 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101H1 IB9520 FINM 3008 ECON7310 FIT 1006 MANAGEMENT MATH3821 MTHM504 CS975 COMM1100 ELEC2133 MMAI 5500 MIS611 ELEC3114 CS 173 ELEC 3105 ISO 9001 IDSC10 Rural livelihoods and globalisati IDSC10 K17 202 CS823 MAST90007 SPG8024 MAT246 EG-264 CVEN2303 INFS1603 3PR3 MN-2508 4CCE1MCP SPG8030 CMT224 Inflation consumption Applying MAT137 CSE 111 DPBS1110 FINS5530 ELEC4613 GSBS6200 COMP4336 Math W54 DIFFERENTIAL 7PAVMALM ACC 1110 ME 3210 MATH2801 MGMT20001 ECON 6202 PSTAT 120B COMP9024 ENG5027 comp3219 ELE00107M ECON20003 ECON2103 FINA2209 MAST20018 LUBS5308M01 MATH2023 Computation COMP1600 CHEM 3X23 BBMM506 FNCE20003 BMET2922 BISM7216 financial ECMT5001 ACST3059 MAST30012 COMP3511 ECOS 2201 MKTG7512 ECON2540 MTH1010 MAT1841 COMP4600 ECON7740 PAPER C331 CAP 6617 ECON2420 ACCT7107 HLTH 7001 ECOS3002 CVEN30010 MAST30021 MATH1014 BIOL1007 ECOS 3010 SWEN90016 BISM7202 ACCT90012 INFO3315 DSCI 553 INFO90002 COMP3419 CITS 3001 EE5731 FINA3326 NFS 284 COMM2501 FIT2104 PHYS3035 RSM260 MAN3080 CHEM30028 MATH2088 ELEC0144 MECM10006 2D AE 202 ENG5022 CHEM3121 FINM7006 CS5340 CSE 594 FIT9136 FINS3633 RSM222 STAT3017 CS 8395 MAST10005 AMA546 ETC2410 FINM 7406 MSBA 7004 BUSS6002 CHEN 90038 PSYC20007 ACTL 3162 DIGITAL COSC 2670 PROGRAMMING ECON 5007 FNCE90045 PSTAT 126 MATH2307 STAT7055 SOC 360 BINF2010 WSTA01 AMME2200 ECO 204 BIO773P BU 312 AERO2598 ENGG 5103 ECON1010 ECON3031 MATH3078 HPS319H1 COMP26020 COMP42215 ACCT7106 COMP3271 MKTG10001 ECOS2025 MATH36031 CSE 402 ACCT1110 ECON 20005 MTH319 COMP 3711 PHYS1160 COMP3601 MSIN0026 ECON1202 ARCL0103 PHYS5033 PSYC 171 QBUS1040 ATOC10001 1ENVS222 COMP9032 CIVL2812 JURD7152 CS 449 ECON 7073 INFS6015 INFS7203 MATH2521 ECON7073 CSE101 COMP2121A DSC 40A MGT3009 COMP4161 FINM8006 BUSM054 COM6503 ST443 P 500 DPBS1190 ELEC5101 STA457H1 MATH3411 COMP5216 PLAN30081 STAT7203 MTHS3003 37T37T BLAW30002 GY7702 MATH580 ME 3057 PHYS 2012 ACCT13 ECON 3210 EE7207 ECOS3005 EC 502 MATH1004 CC0675 PHYS 4315 FINS 3636 COMP1012 economy ISE 562 MACS 30121 ML4ENG 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210FIN316 MGMT10002 COMP0050 EC306 FIT 5124 59PM ET S2098367 CAD MMGT6001 COVID-19 COMP5940M ARC181H1S SCC 312 ECO102 MATH4061 ELEC 3848 DATA3888 MECH0024 STA302H1 CSE 510 LAWS8214 WORK6108 E2 ECON 7310 COMP3211 FIT5216 A4 MATH 110 IBUS 1101 CS355 SWEN90004 MATH1023 BEEM012 COMP3311 ACCT90013 EES A06 EC 504 ISE 580 ENG4701 CAS CS538 ELE3040 6013B0506Y BENV0115 ECON3104 CSCI-1200 COMP27112 IEOR4703 ELEC271 ECE-GY Math 412 BUSS1000 PP208 BCPM000028 7QQMM316 BISM7209 DASC7606 HW 4 STAT 4620 ECON8026 INFS3202 COMMGMT 3506 COMU1002 ECON 20003 MATH 348 BUSN7008 BENV0113 STATISTICS Function STAT2001 ECE6483 MATH1115 MGMT20002 CONSUMPTION ECO00003I LAWS6997 APMA 4300 ECON 7030 STAT 413 802G5 GEOG0051 LINA02 ECON 3208 GOVT 1621 ECOS2001 ECON 7520 MGTS7301 ECMT 6002 MATH4321 EIBS7300 MARK5813 BH50A0220 OFFICE280 ECON1012 CIS273 CIS 273 ELEC3106 ACCT3013 EC831 MMAN3400 EC365 MAST20006 ECON7520 ENGM030 CSC148H1S COMP5125M CMPSC 497 ST5188 MAST 90082 CSSE3010 ECON7040 GEOM3000 GEOM30009 ACCT5910 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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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