Chunyan Chu
Biographic Data
| ID | 9479356 |
|---|---|
| NAME | Chunyan Chu |
| GIVEN NAMES | Chunyan |
| FAMILY NAME | Chu |
| SIGNATURE | CHU C |
| AFFILIATIONS | Beijing Institute of Petrochemical Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy
Background: The purpose of this study is to develop an artificial intelligence (AI)-based automated diabetic retinopathy (DR) grading and training system from a real-world diabetic dataset of China, and in particular, to investigate its effectiveness as a learning tool of DR manual grading for medical students. Methods: We developed an automated DR grading and training system equipped with an AI-driven diagnosis algorithm to highlight highly prog…
The Effect of Formal Schema on College English Listening Comprehension in Efl
Listening comprehension used to be thought of as a passive skill, and listeners were called as“tape-recorder” (Anderson & Lynch,1988). But in fact it is an active process, in which what the listener wants to get is an adequate understanding of what the speaker said and what the speaker meant. To achieve this purpose, English listeners should utilize contextual clues, background knowledge and depend on many learning strategies. Active listeners wi…
No prominent works on this page.
The Effect of Formal Schema on College English Listening Comprehension in Efl
Listening comprehension used to be thought of as a passive skill, and listeners were called as“tape-recorder” (Anderson & Lynch,1988). But in fact it is an active process, in which what the listener wants to get is an adequate understanding of what the speaker said and what the speaker meant. To achieve this purpose, English listeners should utilize contextual clues, background knowledge and depend on many learning strategies. Active listeners wi…
The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy
Background: The purpose of this study is to develop an artificial intelligence (AI)-based automated diabetic retinopathy (DR) grading and training system from a real-world diabetic dataset of China, and in particular, to investigate its effectiveness as a learning tool of DR manual grading for medical students. Methods: We developed an automated DR grading and training system equipped with an AI-driven diagnosis algorithm to highlight highly prog…
Computer Science (2 works) · Active listening (1 works) · Artificial Intelligence (1 works) · Communication (1 works) · Comprehension (1 works) · Diabetes mellitus (1 works) · Diabetic retinopathy (1 works) · Diagnostic accuracy (1 works) · Discourse Analysis in Language Studies (1 works) · EFL/ESL Teaching and Learning (1 works)