Intelligent computing: The latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

[HTML][HTML] Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction

S Borhani, R Borhani, A Kajdacsy-Balla - Critical reviews in oncology …, 2022 - Elsevier
Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …

Method for diagnosis of acute lymphoblastic leukemia based on ViT‐CNN ensemble model

Z Jiang, Z Dong, L Wang… - Computational Intelligence …, 2021 - Wiley Online Library
Acute lymphocytic leukemia (ALL) is a deadly cancer that not only affects adults but also
accounts for about 25% of childhood cancers. Timely and accurate diagnosis of the cancer …

A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging

K Hammouda, F Khalifa, A Soliman, M Ghazal… - … Medical Imaging and …, 2021 - Elsevier
Appropriate treatment of bladder cancer (BC) is widely based on accurate and early BC
staging. In this paper, a multiparametric computer-aided diagnostic (MP-CAD) system is …

[HTML][HTML] Performing automatic identification and staging of urothelial carcinoma in bladder cancer patients using a hybrid deep-machine learning approach

S Sarkar, K Min, W Ikram, RW Tatton, IB Riaz, AC Silva… - Cancers, 2023 - mdpi.com
Simple Summary Early and accurate bladder cancer staging is important as it determines
the mode of initial treatment. Non-muscle invasive bladder cancer (NMIBC) can be treated …

[HTML][HTML] Artificial intelligence in the advanced diagnosis of bladder cancer-comprehensive literature review and future advancement

M Ferro, UG Falagario, B Barone, M Maggi, F Crocetto… - Diagnostics, 2023 - mdpi.com
Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …

A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation

Q Zhang, Y Liang, Y Zhang, Z Tao, R Li, H Bi - International Journal of …, 2023 - Elsevier
Background Artificial intelligence aided tumor segmentation has been applied in various
medical scenarios and showed effectiveness in helping physicians observe the potential …

[HTML][HTML] Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method

JW Yoo, KC Koo, BH Chung, SY Baek, SJ Lee… - Scientific Reports, 2022 - nature.com
We evaluate the diagnostic performance of deep learning artificial intelligence (AI) for
bladder cancer, which used white-light images (WLIs) and narrow-band images, and tumor …

Exploring the potential of vgg-16 architecture for accurate brain tumor detection using deep learning

P Gayathri, A Dhavileswarapu, S Ibrahim… - Journal of Computers …, 2023 - jcmm.co.in
This study explores the potential of the VGG-16 architecture, a Convolutional Neural
Network (CNN) model, for accurate brain tumor detection through deep learning. Utilizing a …

VenusAI: An artificial intelligence platform for scientific discovery on supercomputers

T Yao, J Wang, M Wan, Z Xin, Y Wang, R Cao… - Journal of Systems …, 2022 - Elsevier
Since the machine learning platform can provide one-stop artificial intelligence (AI)
application solutions, it has been widely used in the industrial and commercial internet fields …