Results 171 to 180 of about 6,629,786 (241)

High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis. [PDF]

NPJ Digit Med
Hu Z, Lin HM, Mathur S, Moreland R, Witiw CD, Jimenez-Juan L, Callejas MF, Deva DP, Sejdić E, Colak E.   +9 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Weakly supervised learning in thymoma histopathology classification: an interpretable approach. [PDF]

Front Med (Lausanne)
Wang C, Du X, Yan X, Teng X, Wang X, Yang Z, Chang H, Fan Y, Ran C, Lian J, Li C, Li H, Cui L, Jiang Y.   +13 more
europepmc   +1 more source

Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method. [PDF]

IEEE J Biomed Health Inform, 2021
Yang Z, Zhao L, Wu S, Chen CY.
europepmc   +1 more source

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

Advanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu, Xia Ling, Xianhe Zhang, Chuanjiang Jian, Leilei Shi, Wentao Song, Xiaonan Wang, Bin Liu   +7 more
wiley   +1 more source

Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model [PDF]

, 2011
Gong, SG, Li, J, Timothy M. Hospedales, null Jian Li, null Shaogang Gong, null Tao Xiang, Xiang, T, Hospedales, TM   +7 more
core   +1 more source

Molecular Classification of Breast Cancer Using Weakly Supervised Learning. [PDF]

Cancer Res Treat
Jang W, Lee J, Park KH, Kim A, Lee SH, Ahn S.   +5 more
europepmc   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Weakly supervised learning for medical image segmentation

Medical image segmentation plays a critical role in clinical diagnosis and treatment planning; however, the performance of deep learning models typically depends on large quantities of pixel-wise annotated data, which are costly and time-consuming to ...
Alshewaier, Hateef
core   +1 more source

Liver fibrosis classification on trichrome histology slides using weakly supervised learning in children and young adults. [PDF]

J Pathol Inform
Shabanian M, Taylor Z, Woods C, Bernieh A, Dillman J, He L, Ranganathan S, Picarsic J, Somasundaram E.   +8 more
europepmc   +1 more source