Salmon R.

Key Skills

Software

Other

Top Subject Matter

Medical imaging (X-ray bone fracture detection)

Healthcare/medical imaging (DR grading)

Top Data Types

Computer Code Programming

Top Task Types

Object Detection

Diagnosis

Freelancer Overview

Bone Fracture Detection using SRGAN and YOLOv8 (Project). Core strengths include Other. Education includes Bachelor of Technology (Honours) in Computer Science and Engineering (Artificial Intelligence and Machine Learning), Velagapudi Ramakrishna Siddhartha Engineering College (2022). AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Object Detection and Diagnosis.

Labeling Experience

AHybrid Classical Quantum deep learning Framework for DR Grading (Project)

OtherDiagnosis

Designed a hybrid quantum-classical deep learning framework to support diabetic retinopathy (DR) grading using multi-scale CNNs and a 4-qubit variational quantum circuit. Applied PCA-based dimensionality reduction, custom loss functions, and Grad-CAM interpretability to support clinically aligned classification outcomes. The project focused on training an image grading model to produce rating-style outputs for DR severity. • Implemented hybrid quantum-classical model components for DR grading • Performed PCA feature reduction and designed custom training objectives • Added Grad-CAM to provide interpretability for model predictions • Produced clinically aligned DR classification outputs using end-to-end training

2025 - 2025

Bone Fracture Detection using SRGAN and YOLOv8 (Project)

OtherObject Detection

Developed an X-ray bone fracture detection pipeline using YOLOv8 and integrated it into a Flask web app for real-time fracture localization. Super-resolution preprocessing (SRGAN) and data augmentation were applied to improve labeled image training quality on the FracAtlas dataset. Output bounding boxes were used to localize fractures for automated clinical-style diagnosis support. • Built object detection model training workflow for labeled X-ray images • Performed data augmentation on the dataset to strengthen generalization • Used SRGAN-based image enhancement to improve input quality • Implemented bounding-box visualization/localization in the web app

2024 - 2024

Education

Work History