Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule …
J Selvaraj, AK Jayanthy - International Journal of Imaging …, 2024 - Wiley Online Library
The colorectal cancer (CRC) is gaining attention in the context of gastrointestinal tract
diseases as it ranks third among the most prevalent type of cancer. The early diagnosis of …
diseases as it ranks third among the most prevalent type of cancer. The early diagnosis of …
A Model-Based Reinforcement Learning Method with Conditional Variational Auto-Encoder
T Zhu, R Ren, Y Li, W Liu - Journal of Data Science and …, 2024 - ojs.bonviewpress.com
Abstract Model-based reinforcement learning can effectively improve the sample efficiency
of reinforcement learning, but the environment model in this method has errors. The model …
of reinforcement learning, but the environment model in this method has errors. The model …
Automated Polyp Segmentation in Wireless Capsule Endoscopy Images Using Modified U-Net Architecture to Diagnose Colorectal Cancer
S Jothiraj, AK Jayanthy… - … Conference on Integration …, 2023 - ieeexplore.ieee.org
The timely identification of colorectal cancer (CRC) through the characterization of polyp in
wireless capsule endoscopy (WCE) images is crucial for mitigating the progressive nature of …
wireless capsule endoscopy (WCE) images is crucial for mitigating the progressive nature of …