AlphaGalileo

deepBlastoid: A Deep Learning Model for Automated and Efficient Evaluation of Human Blastoids.

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Tapping the engines of cellular electrochemistry and forces of evolution

Researchers at Washington University in St. Louis have a unique resource in the form of the Center for Biomolecular ...
IEEE

Automated Cavity Detection and Classification Using Deep Learning

Cavity detection in dental X-rays is essential for early diagnosis and treatment planning, yet traditional deep learning approaches often rely on binary classification of entire images, overlooking ...
IEEE

Deep neural network interpretability for image classification based on semantic compressed perception

Abstract: With the rapid development of deep learning technology, as one of the core tasks in the field of computer vision, the accuracy of image classification has been significantly improved.