Results 171 to 180 of about 525,499 (288)

Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters [PDF]

, 2020
Jing Pan, Wendao Liu, Jing Zhou
openalex   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, EarlyView.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source

Efficient convolutional neural networks for acute lymphoblastic leukaemia prediction in computer vision. [PDF]

Sci Rep
Mohan SB, Sathya S, Rajalakshmi S, Gurumoorthy G, Sivanraju R.   +4 more
europepmc   +1 more source

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

Advanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu, An Shao, Bingtao Guan, Ziyao Luo, Weiyi Lai, Xiaoling Huang, Jun Liu, Jie Yan, Huimin Li, Xiangji Pan, Jiawei Wang, Zichang Su, Yih Chung Tham, Jie Yang, Haotian Lin, Juan Ye, Hongxia Xu, Jian Wu   +17 more
wiley   +1 more source

Application of Fully Convolutional Neural Networks in the Assessment of Cerebral White Matter Involvement in Primary Sjögren's Syndrome. [PDF]

Neuroinformatics
Sobański M, Gajowczyk M, Rygiel P, Sobańska M, Korbecki A, Litwinowicz K, Kacała A, Korbecka J, Zdanowicz-Ratajczyk A, Dziadkowiak E, Sebastian M, Wiland P, Trybek G, Sebastian A, Bladowska J.   +14 more
europepmc   +1 more source

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation [PDF]

, 2016
Jianxu Chen, Lin Yang, Yizhe Zhang, Mark Alber, Danny Z. Chen   +4 more
openalex   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

Advanced Science, EarlyView.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen, Zhihang Xu, Yiping Zou, Zhenlai Jiang, Yecheng Li, Taochen He, Hanlin Yin, Jiali Li, Yanfei An, Jiande Han, Yuqi Xie, Wei Gan, Yaolin Xu, Wenquan Wang, Junyi He, Haibo Wang, Wenchuan Wu, Zhenyu Ye, Wenhui Lou, Jihui Hao, Liang Liu, Jun Yu, Ning Pu   +22 more
wiley   +1 more source

Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation. [PDF]

Front Artif Intell
Ruiz AJ, Hernández Torres SI, Snider EJ.   +2 more
europepmc   +1 more source

Multi‐Dimensional Acoustic Cascaded Holographic Encryption with Instantaneous Visual Decryption via Particle Manipulation

Advanced Science, EarlyView.
Acoustic holograms act as key tools for information encryption, yet current schemes limit encryption dimensionality/security and require time‐consuming decryption. A compact device integrates multi‐dimensional cascaded acoustic holography with particle manipulation, employs extra secret keys, enables rapid decryption, and is validated via 1D/2D/3D ...
Qin Lin, Feiyan Cai, Yunqing Liu, Zejiao Zhou, Jiayang Li, Rujun Zhang, Hongpeng Chen, Hairong Zheng, Huailing Zhang   +8 more
wiley   +1 more source

Classifying polish in use-wear analysis with convolutional neural networks. [PDF]

Sci Rep
Eleftheriadou A, Djellal Y, McPherron SP, Marreiros J.   +3 more
europepmc   +1 more source