A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction

05/28/2020
by   William Le, et al.
0

In medical imaging, radiological scans of different modalities serve to enhance different sets of features for clinical diagnosis and treatment planning. This variety enriches the source information that could be used for outcome prediction. Deep learning methods are particularly well-suited for feature extraction from high-dimensional inputs such as images. In this work, we apply a CNN classification network augmented with a FCN preprocessor sub-network to a public TCIA head and neck cancer dataset. The training goal is survival prediction of radiotherapy cases based on pre-treatment FDG PET-CT scans, acquired across 4 different hospitals. We show that the preprocessor sub-network in conjunction with aggregated residual connection leads to improvements over state-of-the-art results when combining both CT and PET input images.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/17/2023

Towards Tumour Graph Learning for Survival Prediction in Head Neck Cancer Patients

With nearly one million new cases diagnosed worldwide in 2020, head & ne...
research
03/09/2022

Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling

Cancer stage is a large determinant of patient prognosis and management ...
research
07/07/2023

Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Survival prediction is crucial for cancer patients as it provides early ...
research
04/01/2019

Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning

Deep learning has shown remarkable results for image analysis and is exp...
research
07/26/2023

Non-Linear Self Augmentation Deep Pipeline for Cancer Treatment outcome Prediction

Immunotherapy emerges as promising approach for treating cancer. Encoura...
research
03/07/2023

Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction

Adaptive radiotherapy is a growing field of study in cancer treatment du...
research
09/29/2022

Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

Renal cell carcinoma (RCC) is a common cancer that varies in clinical be...

Please sign up or login with your details

Forgot password? Click here to reset