[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

[HTML][HTML] Application of deep learning in histopathology images of breast cancer: a review

Y Zhao, J Zhang, D Hu, H Qu, Y Tian, X Cui - Micromachines, 2022 - mdpi.com
With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …

Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations

CW Wang, YC Lee, YJ Lin, CC Chang… - … Medical Imaging and …, 2023 - Elsevier
Inhibition of pathological angiogenesis has become one of the first FDA approved targeted
therapies widely tested in anti-cancer treatment, ie VEGF-targeting monoclonal antibody …

Short Term Load Forecasting of Electrical Power Distribution System Using Enhanced Deep Neural Networks (DNNs)

S Tsegaye, P Sanjeevikumar, LB Tjernberg… - IEEE …, 2024 - ieeexplore.ieee.org
The rationale for using enhanced Deep Neural Networks (DNNs) in the power distribution
system for short-term load forecasting originates from a thorough analysis of current trends …

[HTML][HTML] Detection of presence or absence of metastasis in WSI patches of breast cancer using the dual-enhanced convolutional ensemble neural network

R Ge, G Chen, K Saruta, Y Terata - Machine Learning with Applications, 2024 - Elsevier
Breast cancer (BC) is a prevalent malignancy worldwide, posing a significant public health
burden due to its high incidence rate. Accurate detection is crucial for improving survival …

[HTML][HTML] The feasibility and performance of total hip replacement prediction deep learning algorithm with real world data

CC Chen, JF Huang, WC Lin, CT Cheng, SC Chen… - Bioengineering, 2023 - mdpi.com
(1) Background: Hip degenerative disorder is a common geriatric disease is the main
causes to lead to total hip replacement (THR). The surgical timing of THR is crucial for post …

Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach

FJP Montalbo, LRT Hernandez, LP Palad… - Proceedings of the …, 2023 - dl.acm.org
Vision transformer models began gaining recognition alongside NLP. However, their
performance compared to Convolutional Neural Network (CNN) models in this domain still …

Advancing Tumor Cell Classification and Segmentation in Ki-67 Images: A Systematic Review of Deep Learning Approaches

M Zaki, O Elallam, O Jami, D EL Ghoubali… - … on Advanced Intelligent …, 2023 - Springer
Breast cancer is one of the most diagnosed cancers, transforming it into a matter of great
concern for public health. Early detection increases the probability of effective therapy and …

Dosimétrie basée sur l'imagerie portale par apprentissage de réseaux de neurones convolutifs pour l'assurance qualité spécifique au patient en radiothérapie externe …

L Dal Bosco - 2023 - theses.hal.science
En radiothérapie externe, le flux de la mise en traitement des patients est un processus
complexe qui implique de nombreux procédés, acteurs et prises de décisions. Les …

Predicción de distribución de dosis para tratamientos de radioterapia utilizando redes neuronales convolucionales: aplicación en cáncer de próstata

I Sadir - rdu.unc.edu.ar
El propósito particular de este trabajo es construir y probar métodos de predicción de
distribución 3D de dosis para tratamiento de cáncer de próstata con SBRT, utilizando …