Detection of colorectal polyps from colonoscopy using machine learning: A survey on modern techniques
K ELKarazle, V Raman, P Then, C Chua - Sensors, 2023 - mdpi.com
Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …
medical sector, colorectal polyp detection and classification using deep learning techniques …
Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer …
Colorectal cancer (CRC) is one of the most common and malignant types of cancer
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …
Colon cancer diagnosis based on machine learning and deep learning: Modalities and analysis techniques
The treatment and diagnosis of colon cancer are considered to be social and economic
challenges due to the high mortality rates. Every year, around the world, almost half a million …
challenges due to the high mortality rates. Every year, around the world, almost half a million …
A deep ensemble learning method for colorectal polyp classification with optimized network parameters
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
Polyp detection from colorectum images by using attentive YOLOv5
Background: High-quality colonoscopy is essential to prevent the occurrence of colorectal
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
An ensemble-based deep convolutional neural network for computer-aided polyps identification from colonoscopy
Colorectal cancer (CRC) is the third leading cause of cancer death globally. Early detection
and removal of precancerous polyps can significantly reduce the chance of CRC patient …
and removal of precancerous polyps can significantly reduce the chance of CRC patient …
Modeling the survival of colorectal cancer patients based on colonoscopic features in a feature ensemble vision transformer
CM Lo, YW Yang, JK Lin, TC Lin, WS Chen… - … Medical Imaging and …, 2023 - Elsevier
The prognosis of patients with colorectal cancer (CRC) mostly relies on the classic tumor
node metastasis (TNM) staging classification. A more accurate and convenient prediction …
node metastasis (TNM) staging classification. A more accurate and convenient prediction …
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
Abstract Background and Objective: Early detection of colon adenomatous polyps is critically
important because correct detection of it significantly reduces the potential of developing …
important because correct detection of it significantly reduces the potential of developing …
A semantic feature enhanced YOLOv5-based network for polyp detection from colonoscopy images
JJ Wan, PC Zhu, BL Chen, YT Yu - Scientific Reports, 2024 - nature.com
Colorectal cancer (CRC) is a common digestive system tumor with high morbidity and
mortality worldwide. At present, the use of computer-assisted colonoscopy technology to …
mortality worldwide. At present, the use of computer-assisted colonoscopy technology to …
Automated Diagnosis for Colon Cancer Diseases Using Stacking Transformer Models and Explainable Artificial Intelligence
Colon cancer is the third most common cancer type worldwide in 2020, almost two million
cases were diagnosed. As a result, providing new, highly accurate techniques in detecting …
cases were diagnosed. As a result, providing new, highly accurate techniques in detecting …