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11/25/2022
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection
Objectives: Early detection of liver fibrosis can help cure the disease ...
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11/25/2022
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Scoliosis is a three-dimensional deformity of the spine, most often diag...
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11/10/2022
A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images
Segmentation of regions of interest (ROIs) for identifying abnormalities...
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10/13/2022
Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI
Pediatric low-grade glioma (pLGG) is the most common type of brain cance...
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09/20/2022
Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images
Training Machine Learning (ML) models to segment tumors and other anomal...
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08/22/2022
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning
Generalizability is the ultimate goal of Machine Learning (ML) image cla...
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11/16/2020
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
Brain tumor is one of the leading causes of cancer-related death globall...
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07/02/2020
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
Multi-task learning (MTL) optimizes several learning tasks simultaneousl...
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06/08/2020
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Receiver operating characteristic (ROC) curve is an informative tool in ...
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06/01/2020
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks
Data augmentation refers to a group of techniques whose goal is to battl...
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11/04/2019