Search Results for author: Shaoli Song

Found 4 papers, 2 papers with code

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images

2 code implementations17 May 2023 Mingyuan Meng, Bingxin Gu, Michael Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim

Instead of adopting MTL, we propose a novel Segmentation-to-Survival Learning (SSL) strategy, where our AdaMSS is trained for tumor segmentation and survival prediction sequentially in two stages.

Multi-Task Learning Segmentation +2

Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation

no code implementations28 Oct 2022 Lei Bi, Michael Fulham, Shaoli Song, David Dagan Feng, Jinman Kim

We also introduced a hyper connected fusion to fuse the contextual and complementary image features across multiple transformers in an iterative manner.

Segmentation Tumor Segmentation

DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

2 code implementations16 Sep 2021 Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim

However, the models using the whole target regions will also include non-relevant background information, while the models using segmented tumor regions will disregard potentially prognostic information existing out of primary tumors (e. g., local lymph node metastasis and adjacent tissue invasion).

Computed Tomography (CT) Multi-Task Learning +3

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