MUNIPRAVEENA RELA
Sreenivasa Institute of Technogy and Management Studies (SITAMS), CMR Institute of Technology, Jawaharlal Nehru Technological University Anantapur, B.M.S. College of Engineering
Research areas: Computer Science · Artificial Intelligence · AI in cancer detection · Medical Image Segmentation Techniques · Radiomics and Machine Learning in Medical Imaging
0000-0002-8917-9638
About
Mrs. Munipraveena Rela is working as an Associate Professor in Department of ECE, CMR Institute of Technology, Hyderabad. She received M.Tech from BMS college of Engineering, Bangalore in 2005 and B.Tech from JNTU, Hyderabad in 2001. She has 18 years of teaching experience. She is currently pursing Ph.D in Jawaharlal Nehru Technological University Ananthapur, Ananthapuramu, India. She has published more than 20 research papers in various international journals and conferences. Her area of research includes medical image processing, and signal processing.
Employment
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Sreenivasa Institute of Technogy and Management Studies (SITAMS) Associate Professor2023 - Present
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CMR Institute of Technology Associate Professor2013 - 2023
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K S Institute of Technology Assistant Professor2005 - 2013
Education
- 2016 - 2023
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BMS College of Engineering M.Tech2002 - 2005
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Anwar Ul-Uloom college of Engineering and Technology B.Tech1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Hybrid Deep Learning and Machine Learning Approach for Lung Cancer Detection Save
- Correction to: a diagnosis system by U-net and deep neural network enabled with optimal feature selection for liver tumor detection using CT images (Multimedia Tools and Applications, (2023), 82, 3, (3185-3227), 10.1007/s11042-022-13381-2) Save
- A diagnosis system by U-net and deep neural network enabled with optimal feature selection for liver tumor detection using CT images Save
- Performance analysis of liver tumor classification using machine learning algorithms Save
- A Critical Review on Machine Learning based Liver Tumor Classification Save
- Effect of Feature selection on the performance of Liver Tumor classification using Neural Networks Save
- Challenges of CAD for thorax diseases including Covid-19 by using artificial intelligence Save
- Computerized segmentation of liver tumor using integrated fuzzy level set method Save
- Optimized segmentation and classification for liver tumor segmentation and classification using opposition-based spotted hyena optimization Save
- Ultra wideband technology localization for IoT applications Save
- VHDL implementation of FPGA synthesizable ARM7 processor for mobile and embedded applications Save
- Liver Tumor Segmentation and Classification: A Systematic Review Save
- Liver Tumor Segmentation using Superpixel based Fast Fuzzy C Means Clustering Save
- CT liver image enhancement using spatial filters Save
- Efficient image enhancement techniques applied on medical imaging-a state- of- the art survey Save
- Comparative analysis of image enhancement techniques applied to CT liver image Save
- Assertion based verification environment development using system verilog Save