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ProjectID: P202206060002
GoldIBSI Chapter 2_Image Filtering
Medical imaging is often used to support clinical decision-making, but only through visual inspection or simple measures. Additional relevant information concerning, e.g., disease phenotypes, may …
June 6, 2022
ProjectID: P202205230002
GoldDeveloping SERA package and making it as a GUI application (Phase 1)
Supporting, Reading, and Writing Medical Images Conversion Modalities Implementing Image Registration and Fusion Linking SERA with other sections
Oct. 23, 2021
ProjectID: P202205230001
SilverHECKTOR challenge- 2022 Task 2: The prediction of patient outcomes, namely Relapse-Free Survival (RFS) from …
Following the success of the first two editions of the HECKTOR challenge in 2020 and 2021, this challenge will be presented at the 25th International …
ProjectID: P202205180002
SilverHECKTOR challenge- 2022 Task 1: The automatic segmentation of Head and Neck (H&N) primary tumors …
Following the success of the first two editions of the HECKTOR challenge in 2020 and 2021, this challenge will be presented at the 25th International …
ProjectID: P202205180001
BronzeBreast Cancer Classification via Self-Knowledge Distillation, Transfer Learning, and Feature Fusion Models
Cancer is still considered as the most common source of human illness and death globally. Lately, the number of patients classified with cancer was 18.1 …
ProjectID: P202205170005
BronzeHybrid Machine Learning Systems for Prediction of Parkinson’s Disease Pathogenic Variants using Clinical Information and …
Objectives: Parkinson’s disease (PD) is a complex neurodegenerative disorder characterized by motor and non-motor symptoms. 5–10% of cases are of genetic origin with mutations identified …
May 17, 2022
ProjectID: P202205170004
BronzeFusion-based head and neck tumor segmentation and survival prediction using robust deep learning techniques and …
Multi-level multi-modality fusion radiomics is a promising technique with potential for improved prognostication and segmentation of cancer. This study aims to employ advanced fusion techniques, …
May 17, 2022
ProjectID: P202205170003
BronzeAdvanced automatic segmentation of tumors and survival prediction in head and neck cancer
In this study, 325 subjects were extracted from the HECKTOR-Challenge. 224 subjects were considered in the training procedure, and 101 subjects were employed to validate …
May 17, 2022
ProjectID: P202205130007
BronzePredicting TNM Stage in Head and Neck Cancer using Multi-Modality Fusion Coupled with Deep Learning …
Objective: The tumor, node, metastasis (TNM) staging system enables clinicians to describe the spread of head and-neck-squamous-cell-carcinoma (HNSCC) cancer in a specific manner to assist …