Results 161 to 170 of about 1,256,985 (257)

DEEP MULTI-INSTANCE LEARNING FOR PREDICTING MISMATCH REPAIR DEFICIENCY IN COLON BIOPSIES

Journal of Pathology Informatics, 2022
Sasa Andjelkovic, Sinisa Todorovic, Djordje Pavlovic, Stacy Littlechild, Igor Mihajlovic, Ivana Mikic, Claire Weston, Casey Laris, Timothy Moran, Michael Quick, Sid Mayer, Raymond Jenoski, Kate Mansfield, Kristina Weatherhead, Kathy Murphy   +14 more
doaj   +1 more source

Regionally Localized Electrolyte Engineering via UV Crosslinking for Stable Ether–Carbonate Lithium Metal Batteries

Advanced Functional Materials, EarlyView.
This work introduces a regionally localized electrolyte (RLE) that spatially separates ether‐ and carbonate‐based functions to stabilize both Li metal and high‐voltage cathodes. An immobilized ether‐rich layer directs Li+ transport, activates LiNO3 locally, and forms a uniform LiF‐rich SEI, enabling lower overpotential, uniform deposition, and long ...
Eunbin Lim, Jeanie Pearl Dizon Suba, Jaegu Cho, Sukeun Yoon, Kuk Young Cho   +4 more
wiley   +1 more source

Correction: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions. [PDF]

Front Pharmacol
Fu F, Zhang X, Wang Z, Xie L, Fu M, Peng J, Wu J, Wang Z, Guan T, He Y, Lin JS, Zhu L, Dai W.   +12 more
europepmc   +1 more source

High Pressure Densification Investigation of Li3PS4 and Li6PS5Cl Solid Electrolytes using Combine X‐Ray Diffraction, X‐Ray Absorption Tomography and Ionic Measurement

Advanced Functional Materials, EarlyView.
We used multiple analytical techniques at the Psiché beamline, Synchrotron Soleil, and at D20 instrument in Institut Laue Langevin, to study the densification of thiophosphate solid electrolytes Li3PS4 and Li6PS5Cl. Our combined X‐ray diffraction, absorption tomography, absorption density, neutron power diffraction, and ionic conductivity analyses ...
Oskar Thompson, Ove Korjus, Adrien Fauchier‐Magnan, Clément Albin, Sergio F. Mayer, Emmanuelle Suard, Thomas Hansen, Laura Henry, Nicolas Guignot, Vittoria Pischedda, Sylvie Le Floch, Claire Villevieille   +11 more
wiley   +1 more source

A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions. [PDF]

Front Pharmacol
Fu F, Zhang X, Wang Z, Xie L, Fu M, Peng J, Wu J, Wang Z, Guan T, He Y, Lin JS, Zhu L, Dai W.   +12 more
europepmc   +1 more source

Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review

Advanced Healthcare Materials, EarlyView.
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro, Mario González‐Quintas, Mónica Fernández‐Arias, Jesús del Val, Félix Quintero, Rafael Comesaña, Fernando Lusquiños, Julian R. Jones, Juan Pou   +8 more
wiley   +1 more source

A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images. [PDF]

Biomed Eng Online
Zhang M, Sun X, Li W, Cao Y, Liu C, Tu G, Wang J, Wang R.   +7 more
europepmc   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Computed tomography-based deep learning and multi-instance learning for predicting microvascular invasion and prognosis in hepatocellular carcinoma. [PDF]

World J Gastroenterol
Cen YY, Nong HY, Huang XX, Lu XX, Pu CH, Huang LH, Zheng XJ, Pan ZL, Huang Y, Ding K, Huang DY.   +10 more
europepmc   +1 more source

Survey of Multi Instance learning Algorithms

IJARCCE, 2018
Kavitha M, Jasmin Thomas
openaire   +1 more source