GitHub

Brain Tumor Detection using Image Processing

The primary objective of this project is to enhance the accuracy of brain tumor detection from Magnetic Resonance Imaging (MRI) scans. Leveraging advanced image processing techniques, specifically ...
GitHub

LiTS - Liver Tumor Segmentation Challenge

Used a 3d Unet model as defined by the script for training. The model developed with reference on the 2d unet model (ref [2]) with 3d counterparts. Predict liver segmentation and lesion segmentation ...
The Lancet

Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study

aDepartment of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China bDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital ...
Frontiers

Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound images

Tumor heterogeneity poses a significant challenge for predicting responses to cancer therapy, highlighting the need for the development of biomarkers to guide personalized treatment. Contrast-enhanced ...