Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study
BackgroundArtificial intelligence (AI) models are increasingly being developed to improve the efficiency of pathological diagnoses. Rapid technological advancements are leading to more widespread availability of AI models that can be used by domain-specific experts (ie, patho...
Saved in:
| Main Authors: | David Beyer, Evan Delancey, Logan McLeod |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-07-01
|
| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2025/1/e67457 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gallbladder Polyps Are Associated with Proximal Colon Polyps
by: Kuan-Chieh Lee, et al.
Published: (2019-01-01) -
Evaluation of Perceptual Realism and Clinical Plausibility of AI-Generated Colon Polyp Images
by: Andrei-Constantin Ioanovici, et al.
Published: (2025-06-01) -
A colonic polyps detection algorithm based on an improved YOLOv5s
by: Jianjun Li, et al.
Published: (2025-02-01) -
Inverted Lymphoglandular Polyp in Descending Colon
by: Shengmei Zhou, et al.
Published: (2015-01-01) -
Colonic polyps with Ascaris Lumbricoides eggs
by: Qinglong Ye, et al.
Published: (2025-01-01)