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Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection
- Source :
- Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
- Publication Year :
- 2021
-
Abstract
- The information captured by the gist signal, which refers to radiologists’ first impression arising from an initial global image processing, is poorly understood. We examined whether the gist signal can provide complementary information to data captured by radiologists (experiment 1), or computer algorithms (experiment 2) based on detailed mammogram inspection. In the first experiment, 19 radiologists assessed a case set twice, once based on a half-second image presentation (i.e., gist signal) and once in the usual viewing condition. Their performances in two viewing conditions were compared using repeated measure correlation (rm-corr). The cancer cases (19 cases × 19 readers) exhibited non-significant trend with rm-corr = 0.012 (p = 0.82, CI: −0.09, 0.12). For normal cases (41 cases × 19 readers), a weak correlation of rm-corr = 0.238 (p
- Subjects :
- Science
Breast Neoplasms
Image processing
Article
Correlation
Deep Learning
Breast cancer
Radiologists
Human behaviour
Image Processing, Computer-Assisted
Humans
Psychology
Breast
Set (psychology)
Cancer
Multidisciplinary
GiST
business.industry
Deep learning
Repeated measures design
Pattern recognition
digestive system diseases
Support vector machine
Case-Control Studies
Medicine
Female
Artificial intelligence
Abnormality
business
Algorithms
Mammography
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
- Accession number :
- edsair.doi.dedup.....dc8fd29f9c46b5f769dcea8a09f187eb