Deep learning models for cancer stem cell detection: a brief review
J Chen, L Xu, X Li, S Park - Frontiers in immunology, 2023 - frontiersin.org
Cancer stem cells (CSCs), also known as tumor-initiating cells (TICs), are a subset of tumor
cells that persist within tumors as a distinct population. They drive tumor initiation, relapse …
cells that persist within tumors as a distinct population. They drive tumor initiation, relapse …
A systematic literature survey on skin disease detection and classification using machine learning and deep learning
The world population is growing very fast and the lifestyle of human beings is changing with
time and place. So, there is a need for disease management which includes disease …
time and place. So, there is a need for disease management which includes disease …
High-throughput platform for label-free sorting of 3D spheroids using deep learning
C Sampaio Da Silva, JA Boos, J Goldowsky… - … in Bioengineering and …, 2024 - frontiersin.org
End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage
of transplantable organs. Recognized as one of the promising solutions, tissue engineering …
of transplantable organs. Recognized as one of the promising solutions, tissue engineering …
A survey on computer vision approaches for automated classification of skin diseases
Skin diseases are a significant concern for public health, demanding accurate diagnosis for
effective treatment. However, traditional diagnostic methods often suffer from subjectivity …
effective treatment. However, traditional diagnostic methods often suffer from subjectivity …
[HTML][HTML] Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning
B İsmail Mendi, H Şanlı, MA Insel, B Bayındır Aydemir… - Life, 2024 - mdpi.com
Mycosis fungoides (MF) is the most prevalent type of cutaneous T cell lymphomas. Studies
on the prognosis of MF are limited, and no research exists on the potential of artificial …
on the prognosis of MF are limited, and no research exists on the potential of artificial …
Analysis of the use of digital technologies in the preliminary diagnosis of dermatological diseases: a systematic review
AF Sapaico-Alberto, S Olaya-Cotera… - Archives of …, 2024 - Springer
Dermatological diseases are a significant global health concern, and advanced
technologies have demonstrated considerable potential to improve the diagnosis and …
technologies have demonstrated considerable potential to improve the diagnosis and …
Improved CNN architecture for automated classification of skin diseases
Rosacea, atopic dermatitis and bullous disease are significant skin conditions with distinct
characteristics and impacts, which affect millions of people globally. Early and quick …
characteristics and impacts, which affect millions of people globally. Early and quick …
Deep Learning Impacts in the Field of Artificial Intelligence
W Shafik - Deep Learning Concepts in Operations Research, 2024 - taylorfrancis.com
Deep Learning (DL) is a subfield of Artificial Intelligence (AI) that utilizes neural networks to
learn and analyze large datasets. DL has become an indispensable part of AI, making it …
learn and analyze large datasets. DL has become an indispensable part of AI, making it …
2 Deep Field of Learning Artificial Impacts Intelligence in the
W Shafik - Deep Learning Concepts in Operations Research, 2024 - books.google.com
Artificial Intelligence (AI) is a rapidly increasing paradigm focusing on developing smart
machines proficient in task execution that stereotypically necessitate human intelligence …
machines proficient in task execution that stereotypically necessitate human intelligence …