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 …

A systematic literature survey on skin disease detection and classification using machine learning and deep learning

R Yadav, A Bhat - Multimedia Tools and Applications, 2024 - Springer
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 …

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 …

A survey on computer vision approaches for automated classification of skin diseases

P Gupta, J Nirmal, N Mehendale - Multimedia Tools and Applications, 2024 - Springer
Skin diseases are a significant concern for public health, demanding accurate diagnosis for
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 …

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 …

Improved CNN architecture for automated classification of skin diseases

GD Deepak, SK Bhat, A Gupta - Computer Methods in …, 2025 - Taylor & Francis
Rosacea, atopic dermatitis and bullous disease are significant skin conditions with distinct
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 …

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 …