STATISTICAL METHODS FOR MEDICAL IMAGE ANALYSIS

Name: STATISTICAL METHODS FOR MEDICAL IMAGE ANALYSIS
Availability: OutOfStock

BMI/STAT 768

과목 설명

Introduce key statistical methods and concepts for analyzing various medical images. Analyze publicly available and student/instructor supplied imaging data using the most up-to-date methods and tools.

선수과목

Graduate/professional standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.25

-12.69% 과거 데이터 대비

수료율

100%

과거 데이터 대비 변화 없음

A 비율

33.33%

-53.85% 과거 데이터 대비

학급 규모

166.67% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

SPECIAL TOPICS IN BIOSTATISTICS AND BIOMEDICAL INFORMATICS

BMI 826

Covers advanced topics in the areas of biostatistics and biomedical informatics. Includes reading and discussion of original literature and individual student projects.

COMPUTATIONAL METHODS FOR MEDICAL IMAGE ANALYSIS

BMI/COMPSCI 767

Review of advanced medical image analysis techniques. Covers advanced segmentation and registration methods. Describes the use and extension of statistical and machine learning methods for medical image analysis tasks.

BIOMEDICAL IMAGE ANALYSIS

BMI/COMPSCI 567

Hands-on introduction to biological and medical image analysis techniques. Topics include medical imaging formats, segmentation, registration, image quantification, and classification.

STATISTICAL METHODS FOR EPIDEMIOLOGY

BMI/STAT 642

Methods for analysis of case-control, cross sectional, and cohort studies. Covers epidemiologic study design, measures of association, rates, classical contingency table methods, and logistic and Poisson regression.

STATISTICAL METHODS FOR CLINICAL TRIALS

BMI/STAT 641

Statistical issues in the design of clinical trials, basic survival analysis, data collection and sequential monitoring.