GitHub

AabuYousufRaj1552/Multi-Task-Deep-Learning-for-Brain-Tumor-MRI-Segmentation-and-Classification

It evaluates Dice, IoU, Pixel Accuracy for segmentation and Accuracy for classification. Visualization utilities are included for predictions and comparative metric plots.
IEEE

Body Segmentation Using Multi-task Learning

Abstract: Body segmentation is an important step in many computer vision problems involving human images and one of the key components that affects the performance of all downstream tasks. Several ...
ascopubs.org

Deep learning-based brain tumor segmentation on limited sequences of magnetic resonance imaging.

Predictions of overall survival (OS) and progression-free survival (PFS) for specific therapeutic interventions in newly diagnosed glioblastoma multiforme (GBM) using Cellworks Singula: myCare-024-04.
IEEE

A Region and Category Confidence-Based Multi-Task Network for Carotid Ultrasound Image Segmentation and Classification

The segmentation and classification of carotid plaques in ultrasound images play important roles in the treatment of atherosclerosis and assessment for stroke risk. Although deep learning methods have ...