Results 261 to 270 of about 221,929 (334)

Adaptive identity-regularized generative adversarial networks with species-specific loss functions for enhanced fish classification and segmentation through data augmentation. [PDF]

Sci Rep
Marie HS, Draz MM, Elkhalik WA, Elbaz M.
europepmc   +1 more source

Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation

iRADIOLOGY, EarlyView.
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding, Hao Dang, Jiayi Luo, Xiaoyu Zhuo, Ningyu Huang, Junsheng Xiao, Zongwang Lv   +6 more
wiley   +1 more source

A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing. [PDF]

BMC Med Inform Decis Mak
Lin HM, Lyu J.
europepmc   +1 more source

A Temporal-Aware Generative Network for Cross-Modal Video Universal Adversarial Perturbation Generation

Kaiwen Zhang, S. S. Sun, hao fang, Cheng Zhou, Bin Chen, Shu‐Tao Xia   +5 more
openalex   +1 more source

The integration of generative artificial intelligence and machine learning in healthcare: Current applications and future directions

Journal of Intelligent Medicine, EarlyView.
Abstract Machine learning (ML) and generative artificial intelligence (GAI) in recent years are rapidly revolutionizing the healthcare industry offering improved precision and efficiency of healthcare delivery. The use of these advanced technologies in healthcare such as medical imaging, drug discoveries, predictive analytics, and personalized medicine
Muhammad Umar, Laiba Shamim, Imshaal Musharaf, Pakeezah Tabasum, Vani Malhotra, Kanza Farhan, Ayesha Hidayat, Muhammad Waqas, Amna Anwar, Maria Qadri, Shahana Reza   +10 more
wiley   +1 more source

Exploring Bioimage Synthesis and Detection via Generative Adversarial Networks: A Multi-Faceted Case Study. [PDF]

J Imaging
Sorgente V, Biagiucci D, Cesarelli M, Brunese L, Santone A, Martinelli F, Mercaldo F.   +6 more
europepmc   +1 more source

HYBRID QUANTUM-CLASSICAL GENERATIVE ADVERSARIAL NETWORK FOR FAKE FACE DETECTION

Shahad Ghazi Hunbuli
openalex   +2 more sources

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diffusion tensor imaging (DTI) offer promise for more robust diagnosis, their clinical application ...
Christian John A. Saludar, Maryam Tayebi, Eryn Kwon, Joshua McGeown, William Schierding, Alan Wang, Justin Fernandez, Samantha Holdsworth, Vickie Shim   +8 more
wiley   +1 more source

A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients. [PDF]

Sci Rep
Wang Y, Wang K, Hou J, Ye Z, Lin C, Li X.   +5 more
europepmc   +1 more source

Improvement of AMPs Identification with Generative Adversarial Network and Ensemble Classification [PDF]

Reyhaneh Keshavarzpour, Eghbal G. Mansoori   +1 more
openalex   +1 more source