The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools

G Faa, M Castagnola, L Didaci, F Coghe, M Scartozzi… - Algorithms, 2024 - mdpi.com
The introduction of machine learning in digital pathology has deeply impacted the field,
especially with the advent of whole slide image (WSI) analysis. In this review, we tried to …

[HTML][HTML] An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images

M Fraschini, M Castagnola, L Barberini, R Sanfilippo… - Sensors, 2024 - mdpi.com
Stroke is the second leading cause of death and a major cause of disability around the
world, and the development of atherosclerotic plaques in the carotid arteries is generally …

Enhanced Nuclei Segmentation and Classification via Category Descriptors in the SAM Model

M Luna, P Chikontwe, SH Park - Bioengineering, 2024 - mdpi.com
Segmenting and classifying nuclei in H&E histopathology images is often limited by the long-
tailed distribution of nuclei types. However, the strong generalization ability of image …

Deep Transfer Learning Using Real-World Image Features for Medical Image Classification, with a Case Study on Pneumonia X-ray Images

C Gu, M Lee - Bioengineering, 2024 - mdpi.com
Deep learning has profoundly influenced various domains, particularly medical image
analysis. Traditional transfer learning approaches in this field rely on models pretrained on …

Machine Learning Big Data Analysis of the Impact of Air Pollutants on Rhinitis-Related Hospital Visits

S Lee, C Hyun, M Lee - Toxics, 2023 - mdpi.com
This study seeks to elucidate the intricate relationship between various air pollutants and the
incidence of rhinitis in Seoul, South Korea, wherein it leveraged a vast repository of data and …

Determining the Major Contributing Features to Predict Breast Cancer Imposing ML Algorithms with LIME and SHAP

P Paudel, R Saud, SK Karna… - … Conference on Electrical …, 2023 - ieeexplore.ieee.org
Significant advancements have been achieved recently in the use of artificial intelligence
(AI) to solve healthcare-related problems. A potential method for identifying and treating …

Deep Learning-driven Automatic Nuclei Segmentation of Label-free Live Cell Chromatin-sensitive Partial Wave Spectroscopic Microscopy Imaging

SK Gaire, MS Alom, A Daneshkhah, N Acosta… - bioRxiv, 2024 - biorxiv.org
Chromatin-sensitive Partial Wave Spectroscopic (csPWS) microscopy offers a non-invasive
glimpse into the mass density distribution of cellular structures at the nanoscale, leveraging …