Polyp detection from colorectum images by using attentive YOLOv5

J Wan, B Chen, Y Yu - Diagnostics, 2021 - mdpi.com
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 …

CRCNet: Global-local context and multi-modality cross attention for polyp segmentation

J Zhu, M Ge, Z Chang, W Dong - Biomedical Signal Processing and Control, 2023 - Elsevier
Accurate polyp segmentation is important for the diagnosis and treatment of colon cancer. In
recent years, efforts have been made to improve the encoder-decoder framework by using …

A reliable and sensitive framework for simultaneous type and stage detection of colorectal cancer polyps

OC Kara, N Venkatayogi, N Ikoma… - Annals of Biomedical …, 2023 - Springer
With the goal of enhancing the early diagnosis of colorectal cancer (CRC) polyps and
reducing the risk of mortality in cancer patients, in this article, we present a unique diagnosis …

Role of artificial intelligence in detecting colonic polyps during intestinal endoscopy

A Modi, B Kishore, DK Shetty, VP Sharma… - Engineered …, 2022 - espublisher.com
With the inter and multi-disciplinary collaboration of the medical community with
technologists in conjunction with a disproportionately alarming doctor-patient ratio, it has …

GCCSwin-unet: Global context and cross-shaped windows vision transformer network for polyp segmentation

J Zhu, M Ge, Z Chang, W Dong - Processes, 2023 - mdpi.com
Accurate polyp segmentation is of great importance for the diagnosis and treatment of colon
cancer. Convolutional neural networks (CNNs) have made significant strides in the …

Real-time deployment and test set analysis of automatic colonoscopy polyp identification architecture

N Garg, N Goel - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Manual detection of polyps in the colonoscopy videos can be challenging due to the large
no. of sequential frames, and high chances of false positive rate. So, researchers are …

Sztuczna inteligencja w medycynie

SS Patrzyk, A Woźniacka - 2022 - publicum.umed.lodz.pl
Mianem sztucznej inteligencji określa się modele informatyczne, których działanie jest
wzorowane na ludzkiej inteligencji. Należą do nich programy działające w oparciu o …

[PDF][PDF] Artificial intelligence applications in gastroenterology: steps ahead

SL Popa, A Ismaiel - evaluation - medpharmareports.com
Artificial intelligence (AI) applications are used in gastroenterology for automatic imaging
diagnostic methods such as ultrasonography, computer tomography, magnetic resonance …