Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip
Organ-on-a-chip (OOC) is a new type of biochip technology. Various types of OOC systems
have been developed rapidly in the past decade and found important applications in drug …
have been developed rapidly in the past decade and found important applications in drug …
Current status and future perspectives of artificial intelligence in magnetic resonance breast imaging
Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many
scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well …
scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well …
DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI
Abstract Convolutional Neural Networks (CNNs) are opening for unprecedented scenarios
in fields where designing effective features is tedious even for domain experts. This is the …
in fields where designing effective features is tedious even for domain experts. This is the …
A pipelined tracer-aware approach for lesion segmentation in breast DCE-MRI
The recent spread of Deep Learning (DL) in medical imaging is pushing researchers to
explore its suitability for lesion segmentation in Dynamic Contrast-Enhanced Magnetic …
explore its suitability for lesion segmentation in Dynamic Contrast-Enhanced Magnetic …
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets
In biomedical image processing, Deep Learning (DL) is increasingly exploited in various
forms and for diverse purposes. Despite unprecedented results, the huge number of …
forms and for diverse purposes. Despite unprecedented results, the huge number of …
A hybrid deep learning methodology for breast cancer diagnosis using magnetic resonance images
S Mirbagheri, M Momeni - 2022 - researchsquare.com
Today, breast cancer is one of the most common causes of cancer in women. Precise
diagnosis of cancerous tissues based on images is essential in disease treatment before the …
diagnosis of cancerous tissues based on images is essential in disease treatment before the …
Synergy-Net: Artificial intelligence at the service of oncological prevention
R Bollino, G Bovenzi, F Cipolletta, L Docimo… - Handbook of Artificial …, 2022 - Springer
In recent years the constant development of diagnostic techniques has contributed to
improving the prognosis of many diseases. Among all, oncological diseases remain those in …
improving the prognosis of many diseases. Among all, oncological diseases remain those in …
Neural machine registration for motion correction in breast DCE-MRI
Cancer is one of the leading causes of death in the western world, with medical imaging
playing a key role for early diagnosis. Focusing on breast cancer, one of the emerging …
playing a key role for early diagnosis. Focusing on breast cancer, one of the emerging …
DCE-MRI interpolation using learned transformations for breast lesions classification
H Wang, C Gao, J Feng, X Pan, D Yang… - Multimedia Tools and …, 2021 - Springer
Automatic differentiation of benign and malignant breast lesions on multiple DCE-MRI series
is a challenging task. The performance of the Convolutional Neural Networks (CNNs) based …
is a challenging task. The performance of the Convolutional Neural Networks (CNNs) based …
[PDF][PDF] Advanced analytics on massive datasets using Artificial Intelligence: Industry 4.0 scenarios
A Galli - 2023 - tesidottorato.depositolegale.it
Artificial intelligence (AI) is fast becoming a general purpose technology with outstanding
impacts in industries worldwide, thus supporting the Industry 4.0 revolution. More in detail …
impacts in industries worldwide, thus supporting the Industry 4.0 revolution. More in detail …