IEEE

Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN

Abstract: Planktonic organisms form the principal source for consumers on higher trophic levels in the food chain. Studying their community dispersion is vital to our understanding of the planet's ...
GitHub

Machine Learning suite for training Pytorch/torchvision based Mask_RCNN model to perform instance segmentation of biomedical images.

To delete the Virtual environment at the Conda prompt, deactivate it first, if it is active: To train models with your own data, prepare the training data in a directory structured as follows: ...
Scientific Research Publishing

Baid, U., et al. (2021) The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. arXiv: 2107.02314.

ABSTRACT: In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses ...
Scientific Research Publishing

Jun, W. and Liyuan, Z. (2022) Brain Tumor Classification Based on Attention Guided Deep Learning Model. International Journal of Computational Intelligence Systems, 15, Article ...

ABSTRACT: In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses ...
CNN

When should vaccinated people wear masks now? An expert weighs in

The Delta variant, a more transmissible – and potentially more dangerous – strain of coronavirus, now makes up more half of all new infections in the United States, according to the US Centers for ...
GitHub

C-Mask Machine Learning

C-Mask is an app that can detect whether people are wearing masks correctly. There are two measures, first by single face classification and another one by faces object detection. App is created for ...