IEEE

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification

Abstract: In recent years, supervised learning using convolutional neural networks (CNN) has served as a benchmark for various medical image segmentation and classification. However, supervised ...
The New York Times

21 Ways People Are Using A.I. at Work

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
Frontiers

Analytical computation for segmentation and classification of lumbar vertebral fractures

Spinal health forms the cornerstone of the overall human body functionality with the lumbar spine playing a critical role and prone to various types of injuries due to inflammation and diseases, ...
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

Image processing based Classification and Segmentation using LVS based Multi-Kernel SVM

Abstract: People across the world are showing keen interest in maintaining their weight, selecting healthier foods for eating, and also trying to avoid the obesity problems. Systems with dietary ...