Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

[HTML][HTML] Towards clinical application of artificial intelligence in ultrasound imaging

M Komatsu, A Sakai, A Dozen, K Shozu, S Yasutomi… - Biomedicines, 2021 - mdpi.com
Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …

D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation

Y Zhou, W Huang, P Dong, Y **a… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Assessing the location and extent of lesions caused by chronic stroke is critical for medical
diagnosis, surgical planning, and prognosis. In recent years, with the rapid development of …

A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application

M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …

Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and …

M He, Y Cao, C Chi, X Yang, R Ramin, S Wang… - Frontiers in …, 2023 - frontiersin.org
Multiparametric magnetic resonance imaging (mpMRI) has emerged as a first-line screening
and diagnostic tool for prostate cancer, aiding in treatment selection and noninvasive …

Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …

HM Rai, J Yoo, A Razaque - Expert Systems with Applications, 2024 - Elsevier
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …

A global and local enhanced residual u-net for accurate retinal vessel segmentation

S Lian, L Li, G Lian, X **ao, Z Luo… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Retinal vessel segmentation is a critical procedure towards the accurate visualization,
diagnosis, early treatment, and surgery planning of ocular diseases. Recent deep learning …

[HTML][HTML] Deep neural architectures for contrast enhanced ultrasound (CEUS) focal liver lesions automated diagnosis

CD Căleanu, CL Sîrbu, G Simion - Sensors, 2021 - mdpi.com
Computer vision, biomedical image processing and deep learning are related fields with a
tremendous impact on the interpretation of medical images today. Among biomedical image …

Diagnosis of hepatocellular carcinoma using deep network with multi-view enhanced patterns mined in contrast-enhanced ultrasound data

X Feng, W Cai, R Zheng, L Tang, J Zhou… - … Applications of Artificial …, 2023 - Elsevier
Hepatocellular carcinoma, representing the most frequent primary liver cancer, is a common
cancer disease that is the fourth leading cause of cancer-related mortality worldwide. In …

A novel deep learning-based technique for detecting prostate cancer in MRI images

SK Singh, A Sinha, H Singh, A Mahanti, A Patel… - Multimedia Tools and …, 2024 - Springer
In the western world, the prostate cancer is major cause of death in males. Magnetic
Resonance Imaging (MRI) is widely used for the detection of prostate cancer due to which it …