Python 3 library for the augmentation & normalization of H&E images
Intensity normalization of structural MRIs using RAVEL
Remove pen-marking annotations on whole slide images(WSIs) for data achiving.
ChestX-ray8 Image Processing
The live fire and smoke classifier is developed using Pytorch and Opencv that are trained using the 3 Channels images of fire, smoke and neutral environments. Achieving 75% accuracy, the model accurately identifies these elements in various scenes
Normalização de imagens e treinamento de uma SVM para classificar lesões cerebrais
here is a simple code for Contrast Stretching and Histogram Equalization for image enhancement in python.
An AI-powered skin condition detection system using YOLO, Roboflow, and OpenCV. The model accurately identifies common skin issues like wrinkles, pigmentation, acne, and more with 80% accuracy. Ideal for dermatological screening, this tool brings fast, accessible skin analysis using real-time object detection.
A method for normalizing H and E images
This project provides a complete pipeline to process polygon-style annotations, convert them into YOLO-compatible formats, and train a segmentation model using YOLOv8
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