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 ...
Medscape

New Deep Learning Model Parcellates Brain Using Only dMRI

A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...
GitHub

DeMemSeg: Deep Learning Pipeline for Segmentation and Quantification of Overlapping Membranes in 2D Image

This repository provides a comprehensive pipeline, DeMemSeg, designed for the quantitative analysis of overlapping prospore membranes (PSMs) in sporulating yeast cells. The tools and scripts included ...
IEEE

Application of Machine Learning and Deep Learning in Medical Image Segmentation - an Example of Liver CT Images

Abstract: In the realm of modern medicine, the process of liver image segmentation holds immense significance in facilitating precise diagnoses of hepatic diseases. However, this procedure is ...
GitHub

Computer Vision Pretrained Models

What is pre-trained Model? A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model ...
LinkedIn

GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and struggle with ...
Law

11th Circuit Revives Project Veritas' Defamation Lawsuit Against CNN

"Veritas committed one infraction—it violated a policy regarding the publishing of private information, but CNN falsely accused it of violating a completely different policy—spreading misinformation," ...
Nature

Pipeline multi-type high consequence area identification based on mask R-CNN with fused attention mechanisms

Identification of high consequence areas is an important task in pipeline integrity management. However, traditional identification methods are generally characterized by low efficiency, high cost and ...
Scientific Research Publishing

Detection of Water Meter Digits Based on Improved Faster R-CNN ()

In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was ...
pratt.duke

Machine Learning Models Teach Each Other to Identify Molecular Properties

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...
IEEE

Face Mask Detection Using Machine Learning

Abstract: During this global pandemic, Face mask detection has seen an outstanding development in image processing and Computer vision. Face masks can be detected by observing patterns in an image ...