Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach | Zendy

Piyush Kumar Pareek | Zendy; Prasath Alais Surendhar S | Zendy; Ram Prasad | Zendy; G. Ramkumar | Zendy; Ekta Dixit | Zendy; R. Subbiah | Zendy; Saleh H. Salmen | Zendy; Hesham S. Almoallim | Zendy; Shanthi Priya Samudrala | Zendy; S. Arockia Jayadhas | Zendy

Open Access

Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

Author(s) -

Piyush Kumar Pareek,

Prasath Alais Surendhar S,

Ram Prasad,

G. Ramkumar,

Ekta Dixit,

R. Subbiah,

Saleh H. Salmen,

Hesham S. Almoallim,

Shanthi Priya Samudrala,

S. Arockia Jayadhas

Publication year - 2022

Publication title -

advances in materials science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.356

H-Index - 42

eISSN - 1687-8442

pISSN - 1687-8434

DOI - 10.1155/2022/1008652

Subject(s) - radiomics , cervical cancer , magnetic resonance imaging , receiver operating characteristic , artificial intelligence , deep learning , discriminative model , stage (stratigraphy) , convolutional neural network , machine learning , robustness (evolution) , confusion matrix , computer science , cancer , medical physics , radiology , medicine , paleontology , biochemistry , chemistry , biology , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research