Search Results for author: Navodini Wijethilake

Found 8 papers, 2 papers with code

A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma

no code implementations30 Oct 2023 Navodini Wijethilake, Steve Connor, Anna Oviedova, Rebecca Burger, Tom Vercauteren, Jonathan Shapey

We propose a novel algorithm to choose and extract the most appropriate maximum linear measurement from the segmented regions based on the size of the extrameatal portion of the tumour.

Decision Making

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma

no code implementations9 Aug 2022 Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey

It can be separated into two regions, intrameatal and extrameatal respectively corresponding to being inside or outside the inner ear canal.

Management Segmentation +1

Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet

1 code implementation2 Apr 2021 Mobarakol Islam, Vibashan VS, V Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren

For survival prediction, we extract some novel radiomic features based on geometry, location, the shape of the segmented tumor and combine them with clinical information to estimate the survival duration for each patient.

Brain Tumor Segmentation Survival Prediction +1

Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction

1 code implementation17 Mar 2021 Mobarakol Islam, Navodini Wijethilake, Hongliang Ren

The proposed approaches are evaluated by comparative experiments with state-of-the-art models in synthesis, segmentation, and overall survival (OS) prediction.

Generative Adversarial Network Segmentation +2

A Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis

no code implementations2 Jan 2021 Ashwin De Silva, Malsha V. Perera, Navodini Wijethilake, Saroj Jayasinghe, Nuwan D. Nanayakkara, Anjula De Silva

In addition, the proposed framework was utilized to determine the association of diabetes with retinal and conjunctival vascular tortuosity.

Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes

no code implementations27 Oct 2020 Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren

Glioblastoma is the most malignant type of central nervous system tumor with GBM subtypes cleaved based on molecular level gene alterations.

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