PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Yuchen, Zhang, Wenbo, Peng, Liling, Zhang, Yichi, Fu, Yu, Guo, Xin, Qu, Chao, Qi, Yuan, Xue, Le |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT and Radiology Report Dataset for Medical Imaging Research
por: Xue, Le, et al.
Publicado: (2025)
por: Xue, Le, et al.
Publicado: (2025)
SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
por: Kim, Yumin, et al.
Publicado: (2024)
por: Kim, Yumin, et al.
Publicado: (2024)
PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Automatic Personalized Impression Generation for PET Reports Using Large Language Models
por: Tie, Xin, et al.
Publicado: (2023)
por: Tie, Xin, et al.
Publicado: (2023)
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
por: Han, Zeyu, et al.
Publicado: (2024)
por: Han, Zeyu, et al.
Publicado: (2024)
The Value of [ 18 F]FDG PET/CT for Differentiating Neoplastic From Benign Thrombus
por: Xiaofeng Dou, et al.
Publicado: (2025)
por: Xiaofeng Dou, et al.
Publicado: (2025)
18 F‐FDG PET / CT findings of endometriosis and corpus luteum cyst
por: Guo‐Jie Wang, et al.
Publicado: (2024)
por: Guo‐Jie Wang, et al.
Publicado: (2024)
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
por: Wang, Liyuan, et al.
Publicado: (2024)
por: Wang, Liyuan, et al.
Publicado: (2024)
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
por: Song, Chenyang, et al.
Publicado: (2023)
por: Song, Chenyang, et al.
Publicado: (2023)
18F‐FDG PET/CT findings of paratesticular alveolar rhabdomyosarcoma
por: Xueqi Chen, et al.
Publicado: (2024)
por: Xueqi Chen, et al.
Publicado: (2024)
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
por: Xin, Yi, et al.
Publicado: (2024)
por: Xin, Yi, et al.
Publicado: (2024)
Prognostic Value of the 18 F ‐ FDG PET / CT and Haematological Parameters in Head and Neck Cancer
por: Risa Wakisaka, et al.
Publicado: (2024)
por: Risa Wakisaka, et al.
Publicado: (2024)
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
[ 18 F] PSMA PET‐CT and [ 18 F] Choline PET‐CT in the Diagnosis of High‐Risk Localized Prostate Cancer: Comparation of Both Tests
por: M. A. Tárraga‐Honrubia, et al.
Publicado: (2026)
por: M. A. Tárraga‐Honrubia, et al.
Publicado: (2026)
Generation of an Age‐Dependent and Harmonized 18 F ‐ FDG Brain PET Atlas Using a High‐Sensitivity Short‐Axial FOV PET / CT System
por: Yidan Wei, et al.
Publicado: (2026)
por: Yidan Wei, et al.
Publicado: (2026)
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
por: Zhang, Beiqi, et al.
Publicado: (2024)
por: Zhang, Beiqi, et al.
Publicado: (2024)
Parameter-Efficient Subspace Optimization for LLM Fine-Tuning
por: Lou, Yuchen, et al.
Publicado: (2025)
por: Lou, Yuchen, et al.
Publicado: (2025)
AutoPET III Challenge: PET/CT Semantic Segmentation
por: Safdari, Reza, et al.
Publicado: (2024)
por: Safdari, Reza, et al.
Publicado: (2024)
68 Ga ‐ FAPI ‐46 PET / CT Versus 18 F ‐ FDG PET / CT for Pancreatic Cancer: A Feasibility Study
por: Nicola Evans, et al.
Publicado: (2026)
por: Nicola Evans, et al.
Publicado: (2026)
Parameter-Efficient Fine-Tuning for Foundation Models
por: Zhang, Dan, et al.
Publicado: (2025)
por: Zhang, Dan, et al.
Publicado: (2025)
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
por: Qi, Yuxuan, et al.
Publicado: (2024)
por: Qi, Yuxuan, et al.
Publicado: (2024)
Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts
por: Zhang, Buze, et al.
Publicado: (2026)
por: Zhang, Buze, et al.
Publicado: (2026)
Quantitative brain 18F‐FDG PET/CT analysis in seronegative autoimmune encephalitis
por: Samantha N. Roman, et al.
Publicado: (2024)
por: Samantha N. Roman, et al.
Publicado: (2024)
[18F]‐florbetaben PET/CT is sensitive for cardiac AL amyloidosis
por: Raffaella Cassano Cassano, et al.
Publicado: (2024)
por: Raffaella Cassano Cassano, et al.
Publicado: (2024)
18F‐FDG PET/CT in paediatric Staphylococcus aureus bacteraemia
por: Karan Bir Singh, et al.
Publicado: (2024)
por: Karan Bir Singh, et al.
Publicado: (2024)
Application of 18F ‐ FAPI PET / CT in Deep Infiltrating Endometriosis
por: Tongxin Chen, et al.
Publicado: (2026)
por: Tongxin Chen, et al.
Publicado: (2026)
Refining the role of presurgical PET/4D‐CT in a large series of patients with primary hyperparathyroidism undergoing [18F]Fluorocholine PET/CT
por: Ashjan Kaseb, et al.
Publicado: (2024)
por: Ashjan Kaseb, et al.
Publicado: (2024)
Parameter-Efficient Fine-Tuning of State Space Models
por: Galim, Kevin, et al.
Publicado: (2024)
por: Galim, Kevin, et al.
Publicado: (2024)
514 | CAN BASELINE 18F‐FDG PET/CT PREDICT THE PROGNOSIS OF PRIMARY CNS LYMPHOMA?
por: H. Zhu, et al.
Publicado: (2025)
por: H. Zhu, et al.
Publicado: (2025)
Vision-Language Models for Automated 3D PET/CT Report Generation
por: Jiao, Wenpei, et al.
Publicado: (2025)
por: Jiao, Wenpei, et al.
Publicado: (2025)
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
por: Gao, Chao, et al.
Publicado: (2024)
por: Gao, Chao, et al.
Publicado: (2024)
IAEA Atlas of Cardiac PET/CT
Publicado: (2022)
Publicado: (2022)
What Do Medical Oncologists Expect From PET / CT Reports
por: Sepinoud Firouzmand, et al.
Publicado: (2025)
por: Sepinoud Firouzmand, et al.
Publicado: (2025)
Low‐Grade Fetal Adenocarcinoma of the Lung on 18 F ‐ FDG PET / CT
por: Honghong Liu, et al.
Publicado: (2025)
por: Honghong Liu, et al.
Publicado: (2025)
Characterization of Pulmonary Sclerosing Pneumocytoma Assessed by 18F‐FDG PET/CT
por: Jie Xu, et al.
Publicado: (2025)
por: Jie Xu, et al.
Publicado: (2025)
Gradient-based Parameter Selection for Efficient Fine-Tuning
por: Zhang, Zhi, et al.
Publicado: (2023)
por: Zhang, Zhi, et al.
Publicado: (2023)
18F‐FAPI versus 18F‐FDG PET/CT in the Diagnosis of Relapsing Polychondritis
por: Xiaotong Guo, et al.
Publicado: (2024)
por: Xiaotong Guo, et al.
Publicado: (2024)
Gradient Projection For Continual Parameter-Efficient Tuning
por: Qiao, Jingyang, et al.
Publicado: (2024)
por: Qiao, Jingyang, et al.
Publicado: (2024)
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
por: Zhang, Hangwei, et al.
Publicado: (2025)
por: Zhang, Hangwei, et al.
Publicado: (2025)
Ejemplares similares
-
PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT and Radiology Report Dataset for Medical Imaging Research
por: Xue, Le, et al.
Publicado: (2025) -
SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images
por: Zhang, Yichi, et al.
Publicado: (2025) -
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
por: Kim, Yumin, et al.
Publicado: (2024) -
PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography
por: Zhang, Yichi, et al.
Publicado: (2025) -
Automatic Personalized Impression Generation for PET Reports Using Large Language Models
por: Tie, Xin, et al.
Publicado: (2023)