[HTML][HTML] Application of ultrasonic dual-mode artificially intelligent architecture in assisting radiologists with different diagnostic levels on breast masses classification

C Li, J Li, T Tan, K Chen, Y Xu, R Wu - Diagnostic and …, 2021 - ncbi.nlm.nih.gov
PURPOSE We aimed to compare the diagnostic performance and interobserver variability in
breast tumor classification with or without the aid of an innovative dual-mode artificial …

[PDF][PDF] Development of Efficient Classification Systems for the Diagnosis of Melanoma.

S Palpandi, T Meeradevi - Computer Systems Science & …, 2022 - cdn.techscience.cn
Skin cancer is usually classified as melanoma and non-melanoma. Melanoma now
represents 75% of humans passing away worldwide and is one of the most brutal types of …

Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis

SP Jakkaladiki, F Maly - PeerJ Computer Science, 2024 - peerj.com
Cancer, with its high fatality rate, instills fear in countless individuals worldwide. However,
effective diagnosis and treatment can often lead to a successful cure. Computer-assisted …

Phase-domain Photoacoustic Mechanical Imaging for Quantitative Elastography and Viscography

F Yang, Z Chen, P Wang, Y Shi - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The role and importance of mechanical properties of cells and tissues in pathophysiological
processes have widely been acknowledged. However, current elastography techniques …

[HTML][HTML] Dynamic contrast-enhanced magnetic resonance imaging radiomics analysis based on intratumoral subregions for predicting luminal and nonluminal breast …

S Feng, J Yin - Quantitative Imaging in Medicine and Surgery, 2023 - ncbi.nlm.nih.gov
Background Breast cancer is a heterogeneous disease with different morphological and
biological characteristics. The molecular subtypes of breast cancer are closely related to the …

Blind image quality assessment for MRI with a deep three-dimensional content-adaptive hyper-network

K Qi, H Li, C Rong, Y Gong, C Li, H Zheng… - arXiv preprint arXiv …, 2021 - arxiv.org
Image Quality Assessment (IQA) is of great value in the workflow of Magnetic Resonance
Imaging (MRI)-based analysis. Blind IQA (BIQA) methods are especially required since high …

Binary classification of non-specific low back pain condition based on the combination of B-mode ultrasound and shear wave elastography at multiple sites

X Yu, X Xu, Q Huang, G Zhu, F Xu, Z Liu, L Su… - Frontiers in …, 2023 - frontiersin.org
Introduction: Low back pain (LBP) is a prevalent and complex condition that poses
significant medical, social, and economic burdens worldwide. The accurate and timely …

PST-Radiomics: a PET/CT lymphoma classification method based on pseudo spatial-temporal radiomic features and structured atrous recurrent convolutional neural …

M Wang, H Jiang - Physics in Medicine & Biology, 2023 - iopscience.iop.org
Objective. Existing radiomic methods tend to treat each isolated tumor as an inseparable
whole, when extracting radiomic features. However, they may discard the critical intra-tumor …

Associated factors leading to misdiagnosis of a combined diagnostic model of different types of strain imaging and conventional ultrasound in evaluation of breast …

J Sun, W Zhang, Q Zhao, H Wang, L Tao, X Zhou… - European Journal of …, 2024 - Elsevier
Objective To evaluate the effectiveness of a decision tree that integrates conventional
ultrasound (CUS) with two different strain imaging (SI) techniques for diagnosing breast …

甲状腺, 乳腺超声影像自动分析技术综述

龚勋, 杨菲, 杜章锦, 师恩, 赵绪, 杨子奇, 邹海鹏… - 软件学报, 2020 - jos.org.cn
超声诊断是甲状腺, 乳腺癌首选影像学检查和术前评估定量, 稳定的分析手段,
严重依赖操作者经验. 近年基于计算机技术得了一系列里程碑性的突破, 为医学提供有效的诊断 …