Tissue classification of T1-weighted brain MR acquisitions using a hidden markov random field model.
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Updated
Jul 2, 2019 - HTML
Tissue classification of T1-weighted brain MR acquisitions using a hidden markov random field model.
Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.
Image processing assignments for CS663
🌐 This is visualization of KML files for road damage detection by AI tech.
AI Assisted Image and Video Training Data Labeling @ Scale
This project is a result of the requirements by Allwyn Corporation. It is an image processing and deep-learning based project focused on healthcare data . The project aims to perform image processing on CT Scans images of L3 slice and extract the various fats areas using Deep Learning to calculate the Visceral Fat Index.
Django server version for water bodies detection.
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
Website of Turku Bioimaging - Image Data Team (TBI-IDAT) containing our current and past projects as well as software and tools we use.
Obstacle and free-space detection system for drones
Change detection in remote sensing
Textured Glass Project
2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification
33rd BMVC accepted paper
Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data
An HSV-based Image Segmentation Web App using Flask, enabling users to explore color boundaries for precise segmentation.
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