# BMI/COMPSCI 567: Biomedical Image Analysis | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_COMPSCI_567) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 632be27761c71207ff80344897c8dca6c1a6df99c0ac1d189f965d6f7859afea ### course id BMI/COMPSCI 567 ### course uid course\_86eb54f8ad457aac7590daa7 ### catalog version id 4ee7bfc877472cf4e698bb19d6fd1b9823477add2b26b961968eabc2cde8d64e ### course number 567 ### subjects * BMI * COMPSCI ### title BIOMEDICAL IMAGE ANALYSIS ### description Hands-on introduction to biological and medical image analysis techniques. Topics include medical imaging formats, segmentation, registration, image quantification, and classification. ### requirements text (MATH 320,340,341,345, or375) and (STAT 511,541,POP HLTH/​B M I  551,MATH 331,MATH/​STAT  431,309,STAT 240,301,311,324,371, orSTAT/​F\&W ECOL  571, or HORT 571 prior to Spring 2025) or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d09874c5ded425d92f722ef345419d1055eb97018627fdc79335487c36f36fbd ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BMI/COMPSCI 567 provides a hands-on introduction to biological and medical image analysis, covering formats, segmentation, registration, quantification, and classification. ### llm topics * Medical imaging formats, segmentation, registration, image quantification, and classification. ### llm skills * Medical image analysis, segmentation, registration, quantification, and classification. ### llm assumed background * Linear algebra and introductory statistics including regression and experimental design. ### llm search phrases * biomedical image analysis * medical image segmentation * image registration techniques * biological image quantification * STAT 301 prerequisites * MATH 320 linear algebra ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 1bd2a74ec2812bca44e6d3cc04163a90cac04ac61ba48a4e266cc00b76541adf #### course id BMI/COMPSCI 567 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### 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0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "BMI/COMPSCI 567" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/COMPSCI 567", "course_uid": "course_86eb54f8ad457aac7590daa7", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Juan Caicedo" ], "a": 21, "ab": 2, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "BMI/COMPSCI 567" ] } ] ``` ### statistics #### gpa 3.659 #### graded 173 #### counts * 108 * 40 * 14 * 2 * 6 * 2 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_86eb54f8ad457aac7590daa7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_86eb54f8ad457aac7590daa7-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_86eb54f8ad457aac7590daa7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_86eb54f8ad457aac7590daa7-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_86eb54f8ad457aac7590daa7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_86eb54f8ad457aac7590daa7-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.658959537572254 #### count 173 #### university ##### size 4148 ##### gpa Percentile 40 ##### count Percentile 62 ##### median Count 119 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 16 | false | | 2.8–3.2 | 273 | false | | 3.2–3.6 | 1078 | false | | 3.6–4.0 | 2781 | true | #### departments ```json [ { "subject": "BMI", "comparison": { "size": 19, "gpaPercentile": 17, "countPercentile": 100, "medianCount": 90, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "COMPSCI", "comparison": { "size": 101, "gpaPercentile": 53, "countPercentile": 47, "medianCount": 215, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 32, "current": false }, { "range": "3.6–4.0", "count": 55, "current": true } ] } } ] ``` ### terms #### 1164 ##### term 1164 ##### gpa 2.6923076923076925 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1174 ##### term 1174 ##### gpa 3.8055555555555554 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1184 ##### term 1184 ##### gpa 3.5 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1194 ##### term 1194 ##### gpa 3.8260869565217392 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1204 ##### term 1204 ##### gpa 3.6944444444444446 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1222 ##### term 1222 ##### gpa 3.857142857142857 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1232 ##### term 1232 ##### gpa 3.65 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1244 ##### term 1244 ##### gpa 3.911764705882353 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1254 ##### term 1254 ##### gpa 3.5217391304347827 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | #### 1264 ##### term 1264 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | COMPSCI | | ### benchmarks #### all ##### school ###### size 4148 ###### gpa 3.6782515757893357 ###### top Share 83.1242269029196 ###### count 119 ##### BMI ###### size 19 ###### gpa 3.795362067474217 ###### top Share 90.41653441748439 ###### count 90 ##### COMPSCI ###### size 101 ###### gpa 3.5882516602038304 ###### top Share 78.25442636589756 ###### count 215 #### terms ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ## instructor Trends ```json [ { "uid": "instructor_ef5ecbfa517485d0c0e211e9", "name": "JEANETTE MUMFORD", "count": 74, "terms": [ { "term": "1164", "count": 13, "sections": 1, "gpa": 2.6923076923076925 }, { "term": "1174", "count": 18, "sections": 1, "gpa": 3.8055555555555554 }, { "term": "1184", "count": 20, "sections": 1, "gpa": 3.5 }, { "term": "1194", "count": 23, "sections": 1, "gpa": 3.8260869565217392 } ] }, { "uid": "instructor_eb4bbbdfdbdb887e90e8a50b", "name": "JUAN CAICEDO", "count": 64, "terms": [ { "term": "1244", "count": 17, "sections": 1, "gpa": 3.911764705882353 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.5217391304347827 }, { "term": "1264", "count": 24, "sections": 1, "gpa": 3.9166666666666665 } ] }, { "uid": "instructor_bb47aa7dd9096a207fbfb916", "name": "DANIEL PIMENTEL ALARCON", "count": 18, "terms": [ { "term": "1204", "count": 18, "sections": 1, "gpa": 3.6944444444444446 } ] }, { "uid": "instructor_825bcc9ce2c98f4ab1c29579", "name": "VIKAS SINGH", "count": 17, "terms": [ { "term": "1222", "count": 7, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1232", "count": 10, "sections": 1, "gpa": 3.65 } ] }, { "uid": "instructor_956d4a37f478d472afa5a68b", "name": "MOO K CHUNG", "count": 13, "terms": [ { "term": "1164", "count": 13, "sections": 1, "gpa": 2.6923076923076925 } ] } ] ``` ## following None recorded.