Frontiers

Comprehensive AI framework for automated classification, detection, segmentation, and severity estimation of date palm diseases using vision-language models and generative AI

Department of Computer Engineering, College of Computer Sciences and Information Technology, King Faisal University, Al Ahsa, Saudi Arabia The date palm (Phoenix dactylifera L.) is a vital crop in ...
Frontiers

A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...
Scientific Research Publishing

A Bipolar Fuzzy Approach to Image Segmentation: Enhancing Similarity Measures and Entropy Computation ()

Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...
Digital Trends

I asked 4 AI’s to generate the same image and here are the results

Many AI companions are able to generate images from text prompts. Jasmine Mannan / Digital Trends AI image generation is becoming increasingly popular with so many AI companions now being able to take ...
IEEE

ZSG-Net: A Zero-Shot Super-Resolution Guided Network for Ultrasound Image Segmentation and Classification

Abstract: Automated ultrasound (US) image analysis is hindered by challenges stemming from low resolution, noise, and non-uniform grayscale distribution, which compromise image quality. While many ...
GitHub

jimsyjohnson/Multi-task-Deep-Learning-for-Automatic-Cancer-Segmentation-and-Classification-in-3D-CT-Scans

This project implements a multi-task nnU-Net v2 pipeline for pancreas and lesion segmentation from 3D CT scans. The model leverages a shared encoder for feature extraction and dual decoders for ...
IEEE

A morphological segmentation and curve-let features extraction on text region classification using SVM

Abstract: Text Extraction from different background is always a challenging problem in these emerging field of research area of image processing. In our project we have implemented upon Noise Removal ...