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Cervical cancer is the fourth most common form of cancer in women and the fourth most commoncause of death from cancer in women. Developing countries account for 70% of the cases and 90% of the fatalities.Nowadays Computational methods can be used to classify the cervix type, which wouldbe minimally invasive and does not require lab testing. As Artificial intelligent algorithms are at its peakdevelopment, Our method uses deep learning and object detection techniques for processing and classifying the cervigram types.

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efficientcenterdet-for-cervix-type-detection's Introduction

Hi 👋, I'm Sai Manoj Akondi

About me

Sai Manoj received his btech in Mechanical engineering at NIT Calicut. He is interested in AI and robotics which lead him to purse his career in AI. He published one SCI research journal and a conference paper in Deep learning genre. He is currently working as data scientist at an organization, building AI products useful to the society and contributing to research community. Know more by visting mano3-1.github.io.

🔭 I’m currently working on NREF based models, OCR for complex pdfs, self driving tech and many more.
💬 Ask me about ML, DL and RL
📖 Instrested in
- AI
- Robotics
- Self Driving Technology
📫 How to reach me [email protected]