Results 201 to 210 of about 115,335 (340)

Intelligent Medical Diagnosis Model Based on Graph Neural Networks for Medical Images

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Recently, numerous estimation issues have been solved due to the developments in data‐driven artificial neural networks (ANN) and graph neural networks (GNN). The primary limitation of previous methodologies has been the dependence on data that can be structured in a grid format.
Ashutosh Sharma, Amit Sharma, Kai Guo
wiley   +1 more source

The Outcome of Old-School Indirect Pulp Capping over 40 Years: A Practice-Based Retrospective Evaluation. [PDF]

Dent J (Basel)
Frankenberger R, Koch A, Plohmann L, Beck-Broichsitter B, Becker S.   +4 more
europepmc   +1 more source

Application of Liquid Amalgam on the Internal Electrolysis. VI

, 1947
Sôichiro Musha, Yukio SUZUKI
openalex   +2 more sources

Brittle Fracture of Dental Amalgam [PDF]

, 1965
Kamal Asgar, Lloyd V. Sutfin
openalex   +1 more source

Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Ensemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individual models and mitigate overfitting.
Ziwei Fan, Zhiwen Yu, Kaixiang Yang, Wuxing Chen, Xiaoqing Liu, Guojie Li, Xianling Yang, C. L. Philip Chen   +7 more
wiley   +1 more source

Bibliometric Analysis of the 100 Most-Cited Articles on Endodontic Surgery. [PDF]

Cureus
Munaga S, Alaqla A, Alfadley A, Alfouzan K, Ui Haq I, Chitumalla R.   +5 more
europepmc   +1 more source

Determination of Antimony in Alloy (Part IV)—On the Differential Titration by Using Ammonium Metavanadate, Potassium Permanganate or Potassium Dichromate as Standard Solution; (Part V)—On the Application of the Liquid Amalgam Method

, 1951
Chikafusa Tanaka
openalex   +2 more sources

Radiochemical separation of strontium by amalgam exchange [PDF]

, 1963
Iqbal H. Qureshi, W. Wayne Meinke
openalex   +1 more source

VSMI2 ${\text{VSMI}}^{\mathbf{2}}$‐PANet: Versatile Scale‐Malleable Image Integration and Patch Wise Attention Network With Transformer for Lung Tumour Segmentation Using Multi‐Modal Imaging Techniques

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Lung cancer (LC) is a major cancer which accounts for higher mortality rates worldwide. Doctors utilise many imaging modalities for identifying lung tumours and their severity in earlier stages. Nowadays, machine learning (ML) and deep learning (DL) methodologies are utilised for the robust detection and prediction of lung tumours.
Nayef Alqahtani, Arfat Ahmad Khan, Rakesh Kumar Mahendran, Muhammad Faheem   +3 more
wiley   +1 more source

Bridging the gap: a cross-sectional study on biomedical waste management education and compliance in dental institutions of Delhi National Capital Region. [PDF]

GMS Hyg Infect Control
Mahesh S, Hemalata K, Shanta R, Vashistha U, Krishnakumar K, Arora S, Gupta A.   +6 more
europepmc   +1 more source