Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Open-source FLIM Playground could speed reproducible analysis of complex cell images

Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...

AI diagnoses brain tumors in minutes instead of weeks

Experts in Heidelberg, Germany, have developed an AI system that can classify brain tumors with unprecedented accuracy using ...
GitHub

BreastDCEDL - 2,072 Breast Cancer Patients

The MinCrop version provides three methodicaly selected DCE-MRI time points (pre-contrast, early post-contrast, late post-contrast) cropped to 256×256 pixels around the main tumor. This version has ...
IEEE

Combining Features of Support Vector Machine with Convolutional Neural Network for Image Classification

Abstract: For image classification, it's recommended to start with traditional machine learning techniques before moving to deep learning. Support Vector Machine(SVM) is widely used in pattern ...
GitHub

In silico labeling: Predicting fluorescent labels in unlabeled images

This is the code for In silico labeling: Predicting fluorescent labels in unlabeled images. It is the result of a collaboration between Google Accelerated Science and two external labs: the Lee Rubin ...
IEEE

Harnessing Deep Learning for Precise Diagnosis of 6 types of Cancers

Abstract: The use of deep learning in cancer detection has the potential to lead to more precise and timely diagnosis. In order to identify cancer, this study presents a deep learning-based picture ...
Frontiers

A breast cancer-specific combinational QSAR model development using machine learning and deep learning approaches

Breast cancer is the most prevalent and heterogeneous form of cancer affecting women worldwide. Various therapeutic strategies are in practice based on the extent of disease spread, such as surgery, ...