GitHub

brain-tumor-segmentation

Segment brain tumors in MRI scans using a 2D U-Net on the BraTS 2020 dataset for precise multi-class tumor sub-region identification. Distance Map auxiliary loss for brain tumor segmentation (BraTS ...
GitHub

3D MRI Brain Tumor Segmentation Using Autoencoder Regularization

This code has been implemented in python language using Pytorch framework. Following environements and libraries are needed to run the code: Python 3 torch version 1.12.0 torchvision 0.13.0 The ...
eLife

TSvelo: Comprehensive RNA velocity by modeling the cascade of gene regulation, transcription and splicing

This study presents a valuable RNA velocity method which predicts the transcription rate linearly based on the expression of RNA levels of transcription factors with addition of comprehensive analyses ...
Frontiers

Leveraging deep learning and explainable AI for effective liver tumor classification from CT scan images

In addition to liver tumor classification, studies on breast, lung, and brain cancer provide useful information on the strengths and limitations of current methods. Hussain et al. Hussain et al. ( 5 ) ...