Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

R Ranjbarzadeh, A Caputo, EB Tirkolaee… - Computers in biology …, 2023 - Elsevier
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement

K Hu, L Zhao, S Feng, S Zhang, Q Zhou, X Gao… - Computers in biology …, 2022 - Elsevier
Colorectal polyp recognition is crucial for early colorectal cancer detection and treatment.
Colonoscopy is always employed for colorectal polyp scanning. However, one out of four …

Cross-level feature aggregation network for polyp segmentation

T Zhou, Y Zhou, K He, C Gong, J Yang, H Fu, D Shen - Pattern Recognition, 2023 - Elsevier
Accurate segmentation of polyps from colonoscopy images plays a critical role in the
diagnosis and cure of colorectal cancer. Although effectiveness has been achieved in the …

How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective

Z Wu, S Xuan, J Xie, C Lin, C Lu - Computers in biology and medicine, 2022 - Elsevier
From a technical perspective, for electronic medical records (EMR), this paper proposes an
effective confidential management solution on the cloud, whose basic idea is to deploy a …

Boundary constraint network with cross layer feature integration for polyp segmentation

G Yue, W Han, B Jiang, T Zhou… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Clinically, proper polyp localization in endoscopy images plays a vital role in the follow-up
treatment (eg, surgical planning). Deep convolutional neural networks (CNNs) provide a …

Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images

Y Liu, J Shen, L Yang, H Yu, G Bian - Computers in Biology and Medicine, 2023 - Elsevier
Accurate segmentation of retinal vessels from fundus images is fundamental for the
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …

RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames

MU Rehman, J Ryu, IF Nizami, KT Chong - Computers in Biology and …, 2023 - Elsevier
Brain tumors are one of the most fatal cancers. Magnetic Resonance Imaging (MRI) is a non-
invasive method that provides multi-modal images containing important information …

[HTML][HTML] Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability

BBSL Houwen, KJ Nass, JLA Vleugels… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Attention-guided pyramid context network for polyp segmentation in colonoscopy images

G Yue, S Li, R Cong, T Zhou, B Lei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, deep convolutional neural networks (CNNs) have provided us an effective tool for
automated polyp segmentation in colonoscopy images. However, most CNN-based …

U-Net model with transfer learning model as a backbone for segmentation of gastrointestinal tract

N Sharma, S Gupta, D Koundal, S Alyami, H Alshahrani… - Bioengineering, 2023 - mdpi.com
The human gastrointestinal (GI) tract is an important part of the body. According to World
Health Organization (WHO) research, GI tract infections kill 1.8 million people each year. In …