Results 141 to 150 of about 601,753 (327)
Entropy‐guided contrastive learning for semi‐supervised medical image segmentation
Accurately segmenting medical images is a critical step in clinical diagnosis and developing patient‐specific treatment plans. While supervised learning algorithms have achieved excellent performance in this area, they require a large amount of annotated
Junsong Xie, Qian Wu, Renju Zhu
doaj +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
Semi-supervised Learning of Joint Density Models for Human Pose Estimation [PDF]
Ramanan Navaratnam+2 more
openalex +1 more source
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley +1 more source
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process [PDF]
Yangqiu Song+2 more
openalex +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu+2 more
wiley +1 more source
Unsupervised and semi-supervised learning of tone and pitch accent [PDF]
Gina‐Anne Levow
openalex +1 more source
Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation
(a) Separated network architecture, where the lung nodule detection and segmentation networks are separated. (b) Separated head architecture, where an anchor‐based head is responsible for detection and another head for segmentation. (c) The study's architecture, containing a lightweight backbone network based on deformable Transformer for feature ...
Lilu Liu+6 more
wiley +1 more source
A New Data Selection Principle for Semi-Supervised Incremental Learning [PDF]
Rong Zhang, Alexander I. Rudnicky
openalex +1 more source
A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla+8 more
wiley +1 more source