Medical Technology

@gretel_ai 2 years ago

A new study that used Gretel’s synthetic data API to augment a limited EEG dataset improved its ML model accuracy by an average of 14%. Exciting to see #syntheticdata supporting medical research. https://loom.ly/3p9wJx0 #datascience #developers https://t.co/95H1rezTis

@Gradio 2 years ago

Demo of the Day: Using a U-net for finding abnormalities in #MRI scans. Dataset: https://www.kaggle.com/mateuszbuda/lgg-mri-segmentation Colab: https://colab.research.google.com/drive/1rNW2YH7DsI9mnbKtIMeolT86A3_q-3ie?authuser=1#scrollTo=Lhh1U3XHvEiC A #MachineLearning in #Medicine model 🩺 https://t.co/BkfrAjKRJq

@Abhishek4273 3 years ago

Tried training an image segmentation model on PanNuke dataset, an Open Pan-Cancer Histology Dataset - https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo (Ex 51) Data - https://jgamper.github.io/PanNukeDataset/ #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #Python #git #medical #Cancer #opensource #AI https://t.co/rFQ5JcvZjt

@engadget.com 3 years ago

Intel and Penn Medicine are developing an AI to spot brain tumors