Madhura Prakash M

Employment

• Forus Health Private Limited, Bangalore Technical Specialist
  2022 - Present
• BNM Institute of Technology Assistant Professor
  2011 - 2022

Education

• Visvesvaraya Technological University Ph.D.
  2019 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• An innovative transfer learning-polyp detection from wireless capsule endoscopy videos with optimal key frame selection and depth estimation
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2025.107963
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• A Multi-Stage Approach for Cardiovascular Risk Assessment from Retinal Images Using an Amalgamation of Deep Learning and Computer Vision Techniques
  Diagnostics 2024 DOI: 10.3390/diagnostics14090928
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• Deep Learning Architectures for Abnormality Detection in Endoscopy Videos
  Revue d'Intelligence Artificielle 2023 DOI: 10.18280/ria.370326
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• A Novel Method Using Deep Learning Technique for Automatic Grading and Classification of Interferometry Video Frames for Dry Eye Analysis
  Indian Journal of Computer Science and Engineering 2023 DOI: 10.21817/indjcse/2023/v14i2/231402092
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• A Systematic Study of Deep Learning Architectures for Analysis of Glaucoma and Hypertensive Retinopathy
  International Journal of Artificial Intelligence & Applications 2022 DOI: 10.5121/ijaia.2022.13603
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• Multi-Object Detection and Localization of Artefacts in Endoscopy Images
  International Journal of Computer Applications 2022 DOI: 10.5120/ijca2022922422
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• A comparitive analysis of mobilenet and xception architecture for classification of endoscopy images
  International Journal of Computing and Artificial Intelligence 2022 DOI: 10.33545/27076571.2022.v3.i2a.56
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• Yoga Posture Classification using Computer Vision
  International Journal of Engineering and Management Research 2021 DOI: 10.31033/ijemr.11.4.11
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• ENCODER-DECODER ATTENTION NETWORK (EDANET) FOR POLYP SEGMENTATION IN COLONOSCOPY IMAGES
  INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 2021 DOI: 10.36106/ijsr/4333914
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• Audience Feedback Analysis using Emotion Recognition
  International Journal of Engineering Research and 2020 DOI: 10.17577/ijertv9is050717
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