Opening book details…
Can I read Exploring Open Source for Machine Learning Problem on Diabetic Retinopathy on EtoBox?
Exploring Open Source for Machine Learning Problem on Diabetic Retinopathy by Archana Kumari; Tanupriya Choudhury; P. Chitra Rajagopal is a book available to read on EtoBox.
What is Exploring Open Source for Machine Learning Problem on Diabetic Retinopathy about?
The book covers current developments in the field of expert applications and security, which employ advances of next-generation communication and computational technology to shape real-world applications. It gathers selected research papers presented at the ICETEAS 2018 conference, which was held at Jaipur Engineering College and Research Centre, Jaipur, India, on February 17–18, 2018. Key topics covered include expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security and intelligence; and advances in web technologies: implementation and security issues. Erscheinungsdatum: 20.11.2018
- Author
- Archana Kumari; Tanupriya Choudhury; P. Chitra Rajagopal
- Publisher
- Springer Singapore : Imprint: Springer
- Published
- 2018
- Language
- EN
- ISBN
- 9789811322853
- Subjects
- Computer Science, Engineering, Science
More by Archana Kumari; Tanupriya Choudhury; P. Chitra Rajagopal
Browse all works by Archana Kumari; Tanupriya Choudhury; P. Chitra Rajagopal
Similar books
- Grading of Diabetic Retinopathy Using Machine Learning Techniques — H. Asha Gnana Priya; J. Anitha (2023)
- Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis — Shuai Cheng; Qingshan Hou; Peng Cao; Jinzhu Yang; Xiaoli Liu; Osmar R. Zaiane (2023)
- DRAODM: Diabetic Retinopathy Analysis Through Optimized Deep Learning with Multi Support Vector Machine for Classification — Emmy Bhatti; Prabhpreet Kaur (2019)
- Diabetic Retinopathy Related Lesions Detection and Classification Using Machine Learning Technology — Rituparna Saha; Amrita Roy Chowdhury; Sreeparna Banerjee (2016)
- A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy — Rawan AlSaad; Somaya Al-maadeed; Md. Abdullah Al Mamun; Sabri Boughorbel (2018)
- Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning — Akhilesh Kumar Gangwar; Vadlamani Ravi (2020)