Binary and Multi-Class Classification of Colorectal Polyps Using CRP-ViT: A Comparative Study Between CNNs and QNNs
Background: Colorectal cancer (CRC) is a major contributor to cancer mortality on a global scale, with polyps being critical precursors. The accurate classification of colorectal polyps (CRPs) from colonoscopy images is essential for the timely diagnosis and treatment of CRC. Method: This research p...
Saved in:
| Main Authors: | Jothiraj Selvaraj, Fadhiyah Almutairi, Shabnam M. Aslam, Snekhalatha Umapathy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Life |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1729/15/7/1124 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis
by: Jothiraj Selvaraj, et al.
Published: (2025-05-01) -
A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling
by: Derya Avcı
Published: (2025-03-01) -
Tumor ViT-GRU-XAI: Advanced Brain Tumor Diagnosis Framework: Vision Transformer and GRU Integration for Improved MRI Analysis: A Case Study of Egypt
by: Mohammed Aly, et al.
Published: (2024-01-01) -
Apvit: ViT with adaptive patches for scene text recognition
by: Ning Zhang, et al.
Published: (2025-03-01) -
Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT
by: Shubhi Sharma, et al.
Published: (2025-07-01)