no code implementations • 30 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.
no code implementations • 19 Oct 2022 • Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng, Peter T. C. So, Murat Yildirim, Dushan N. Wadduwage
Limited throughput is a key challenge in in-vivo deep-tissue imaging using nonlinear optical microscopy.
no code implementations • 9 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.
1 code implementation • 2 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.
1 code implementation • 17 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.
no code implementations • 2 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.
no code implementations • 2 Nov 2020 • Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera
In this work, we identify survival related 7 gene signature and explore two approaches for survival prediction and risk estimation.
no code implementations • 27 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.