Abstract: Worldwide, Breast cancer remains one of the primary reasons of female mortality. Detecting breast cancer is important because it gives us time to treat it and get cures. A contrastive study ...

The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Several foundation models, a type of machine learning algorithm trained on large datasets, proved highly accurate in detecting nonmelanoma skin cancers from tissue slides when adapted with minimal ...

Deep-learning based classification pipeline for subtyping lung tumors from histology. Study design and codebase to analyze the impact of nucleus segmentation on subtyping. Lung Cancer Detection with ...

Abstract: The use of Artificial Intelligence in medical applications is now well established. Deep learning models have proven to be well suited to classification problems in medical applications.

The ON-SITE study has enrolled its first patient to evaluate an AI-based image analysis module for lung cancer. The ON-SITE study has enrolled its first patient.1 This multicenter investigation will ...

This course can also be delivered using R. You must use the best data to build the most valuable machine learning models for data science and AI. This idea is summarized in a famous quote, “Data ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...