XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size

Colorectal cancer (CRC) is marked by the development of tumors/outgrowths known as polyps. AI-assisted endoscopy is inevitable in the modern world for better and more efficient polyp detection and classification. Often, the risk associated with CRC is indicated by the polyp’s size. Automa...

Full description

Bibliographic Details
Published in:IEEE Access
Main Authors: Promit Haldar, Vanshali Sharma, Yuji Iwahori, M. K. Bhuyan, Aili Wang, Haibin Wu, Kunio Kasugai
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Endoscopy
colorectal polyps
size classification
depth maps
convolutional neural networks
xgboost
Online Access:https://ieeexplore.ieee.org/document/10319404/

Internet

https://ieeexplore.ieee.org/document/10319404/

Similar Items