A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
Manually annotating nuclei from the gigapixel Hematoxylin and Eosin (H&E)-stained Whole
Slide Images (WSIs) is a laborious and costly task, meaning automated algorithms for cell …
Slide Images (WSIs) is a laborious and costly task, meaning automated algorithms for cell …
Deep Learning for Pulmonary Disease Identification
A Kukker, S Dhar, V Singh, V Amitabh… - 2023 14th …, 2023 - ieeexplore.ieee.org
The ubiquitous use of machine learning in healthcare including, but not limited to analytics,
data collection and processing, differential diagnosis and wearable health tracking has led …
data collection and processing, differential diagnosis and wearable health tracking has led …
Learning Deep Discriminative Features for Retinal Vessel Segmentation
X Wei - 2023 - escholarship.mcgill.ca
La plupart des méthodes existantes basées sur l'apprentissage en profondeur pour la
segmentation des vaisseaux négligent deux aspects importants des vaisseaux rétiniens …
segmentation des vaisseaux négligent deux aspects importants des vaisseaux rétiniens …
A predictive model for risk stratification of men in west China with benign prostatic hyperplasia
Q Dong, W Huang, Y Ye, D Luo - 2024 - researchsquare.com
Purpose: we sought to develop and validate a model based on machine learning to predict
high-risk BPH in Chinese males in physical examination. Materials and Methods: We …
high-risk BPH in Chinese males in physical examination. Materials and Methods: We …