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Deep Learning-Based Renal Stone Detection: A Comprehensive Study and Performance Analysis

Priyadharsini Ravisankar

Priyadharsini Ravisankar

Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of EngineeringChennai, India
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Ravisankar, Priyadharsini
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Varsha Balaji

Varsha Balaji

Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of EngineeringChennai, India
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Shahul Hameed T

Shahul Hameed T

Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of EngineeringChennai, India
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T, Shahul Hameed
  
15 ago 2024
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Pubblicato online: 15 ago 2024
Pagine: 112 - 116
Ricevuto: 06 feb 2024
Accettato: 29 lug 2024
DOI: https://doi.org/10.2478/acss-2024-0014
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© 2024 Priyadharsini Ravisankar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Ravisankar, Priyadharsini ORCID Icon
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of EngineeringChennai, India
Balaji, Varsha
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of EngineeringChennai, India
T, Shahul Hameed
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of EngineeringChennai, India
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Informatica, Intelligenza artificiale, Tecnologia informatica, Project Management, Software Development
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