Automatic Detection of Colorectal Polyps Using Transfer Learning
Colorectal cancer is the second leading cause of cancer death and ranks third worldwide in diagnosed malignant pathologies (1.36 million new cases annually). An increase in the diversity of treatment options as well as a rising population require novel diagnostic tools. Current diagnostics involve c...
Main Authors: | Eva-H. Dulf, Marius Bledea, Teodora Mocan, Lucian Mocan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/17/5704 |
Similar Items
-
Artificial Intelligence in Colorectal Cancer Diagnosis Using Clinical Data: Non-Invasive Approach
by: Noémi Lorenzovici, et al.
Published: (2021-03-01) -
Impact of Artificial Intelligence on Colorectal Polyp Detection and Characterization
by: Shivaraj Afzalpurkar, et al.
Published: (2023-12-01) -
A computer-aided system improves the performance of endoscopists in detecting colorectal polyps: a multi-center, randomized controlled trial
by: Heng Zhang, et al.
Published: (2024-01-01) -
Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis
by: Arun Sivananthan, et al.
Published: (2022-05-01) -
Real-Time Artificial Intelligence-Based Histologic Classifications of Colorectal Polyps Using Narrow-Band Imaging
by: Yi Lu, et al.
Published: (2022-04-01)