Tech Xplore

Intelligent photodetectors 'sniff and seek' like retriever dogs to recognize materials directly from light spectra

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...
GitHub

RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...
Frontiers

Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network

Background: Accurate segmentation and classification of carotid plaques are critical for assessing stroke risk. However, conventional methods are hindered by manual intervention, inter-observer ...
IEEE

Research on Bridge Pier Crack Feature Image Recognition and Classification Method Based on IGOA-SVM

Abstract: In response to the issues of low automation, strong subjectivity in detection results, and serious impacts on the safety of bridges and public outings caused by existing methods for ...
IEEE

Pap Smear Image Segmentation and Classification Methods For Cervical Cancer Detection Using Machine Learning

Abstract: Cervical cancer ranks as a major cause of death among women globally, making essential for effective treatment. The automated examination of Pap smear images through sophisticated machine ...
C&EN

Attention-Enhanced Multi-Task Deep Learning Model for Classification and Segmentation of Esophageal Lesions

Pathophysiology Department, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China Tianjian Laboratory of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, Henan ...
Frontiers

An optimized support vector machine for lung cancer classification system

Introduction: Lung cancer is one of the main causes of the rising death rate among the expanding population. For patients with lung cancer to have a higher chance of survival and fewer deaths, early ...
GitHub

Gaserzaghloul/Sports-Image-Classification-Using-CNN

Built a deep CNN for multi-class sports image classification using a Kaggle dataset. Tuned hyperparameters (layers, dropout, optimizer, batch size, learning rate, weight decay) and trained with early ...