About
Kaushlesh is a doctoral researcher at the CSIR-CSIO laboratory and PGIMER in Chandigarh, India. Trained in image processing and computer vision, his research includes employing biomedical imaging techniques to study X-rays, in particular, to detect, differentiate morphological features of sella turcica and other developed biological anomalies in the lateral cephalometric correlated.
Area of Expertise:
Biomedical imaging
Radiography imaging
Biomedical Non-linear feature extraction
Lateral Cephalometric
Education:
M.Tech Computer Science, 2018, Devi Ahilya Vishwavidyalaya, Indore, India
B.E. Computer Science & Engineering, 2014, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica Save
- A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification Save
- SellaMorph-Net: A Novel Machine Learning Approach for Precise Segmentation of Sella Turcica Complex Structures in Full Lateral Cephalometric Images Save
- Automated methods for sella turcica segmentation on cephalometric radiographic data using deep learning (CNN) techniques Save
- Segmentation of Sella Turcica in X-ray Image based on U-Net Architecture Save