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 ...
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 ...
IEEE

Plant Leaf Disease Classification Using Modified SVM With Post Processing Techniques

Abstract: In order to prevent yield loss and quality of the agricultural product, early detection of diseases in plant is essential. Using visually apparent patterns on the plant, numerous studies on ...
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 ...