Enhanced Cascade Prostate Cancer Classifier in mp-MRI Utilizing Recall Feedback Adaptive Loss and Prior Knowledge-Based Feature Extraction
Fuente:
arXiv
Guardado en:
| Autores principales: | Luo, Kun, Zheng, Bowen, Lv, Shidong, Tao, Jie, Wei, Qiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Enhancing Prostate Cancer Diagnosis: The Combined Value of PHI and mpMRI
por: Y. M. Yáñez‐Castillo, et al.
Publicado: (2025)
por: Y. M. Yáñez‐Castillo, et al.
Publicado: (2025)
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
por: Muftah, Asmail, et al.
Publicado: (2024)
por: Muftah, Asmail, et al.
Publicado: (2024)
Multimodal Fusion of mpMRI Radiomics, Clinical Features, and Hematological Biomarkers Enhances Machine Learning‐Based Prediction of Biochemical Recurrence in Prostate Cancer Patients
por: Yinxing Zhu, et al.
Publicado: (2025)
por: Yinxing Zhu, et al.
Publicado: (2025)
Potential Time and Recall Benefits for Adaptive AI‐Based Breast Cancer MRI Screening
por: Luuk Balkenende, et al.
Publicado: (2025)
por: Luuk Balkenende, et al.
Publicado: (2025)
Cognitive Fusion Versus Software Fusion for Subcentimeter Lesions in Transperineal mpMRI/TRUS Fusion‐Guided Prostate Biopsy Under Local Anesthesia
por: Hejia Yuan, et al.
Publicado: (2025)
por: Hejia Yuan, et al.
Publicado: (2025)
Rare tau decays via exchange of on-shell almost degenerate Majorana neutrinos, $τ^{\mp} \to π^{\mp} N_j \to π^{\mp} μ^{\mp} π^{\pm}$ and $τ^{\mp} \to π^{\mp} N_j \to π^{\mp} μ^{\pm} π^{\mp}$
por: Cvetic, Gorazd, et al.
Publicado: (2023)
por: Cvetic, Gorazd, et al.
Publicado: (2023)
Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior‐Data Fitted Network‐Based Radiomics Model From MRI
por: Bai‐Chuan Liu, et al.
Publicado: (2025)
por: Bai‐Chuan Liu, et al.
Publicado: (2025)
Response to Letter to the Editor Regarding: “Potential Time and Recall Benefits for Adaptive AI‐Based Breast Cancer MRI Screening”
por: Luuk Balkenende, et al.
Publicado: (2025)
por: Luuk Balkenende, et al.
Publicado: (2025)
Editorial for “Association of Pathological Features and Multiparametric MRI‐Based Radiomics with TP53‐Mutated Prostate Cancer”
por: Satoru Takahashi
Publicado: (2024)
por: Satoru Takahashi
Publicado: (2024)
Enhancing Convergence Speed with Feature-Enforcing Physics-Informed Neural Networks: Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence
por: Jahaninasab, Mahyar, et al.
Publicado: (2023)
por: Jahaninasab, Mahyar, et al.
Publicado: (2023)
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
por: Zheng, Bowen, et al.
Publicado: (2026)
por: Zheng, Bowen, et al.
Publicado: (2026)
Editorial Comment on “The Evolution of Prostate Multiparametric MRI and Its Application in Prostate Cancer Clinical Management”
por: Yoshiko Ueno
Publicado: (2026)
por: Yoshiko Ueno
Publicado: (2026)
Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI
por: Patricia M. Johnson, et al.
Publicado: (2025)
por: Patricia M. Johnson, et al.
Publicado: (2025)
Assessment of Circulating Neuroendocrine Tumor Markers at Prostate Cancer Diagnosis: An Investigation of Prostate Cancer With Neuroendocrine Features
por: Tatsuya Shimomura, et al.
Publicado: (2026)
por: Tatsuya Shimomura, et al.
Publicado: (2026)
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
por: Hung, Alex Ling Yu, et al.
Publicado: (2024)
por: Hung, Alex Ling Yu, et al.
Publicado: (2024)
Comparison of 5 T and 3 T Biparametric MRI for Clinically Suspected Prostate Cancer: Image Quality, Lesion Visualization, and Artifacts
por: Yunfeng Deng, et al.
Publicado: (2025)
por: Yunfeng Deng, et al.
Publicado: (2025)
Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
por: Dentan, Jérémie, et al.
Publicado: (2025)
por: Dentan, Jérémie, et al.
Publicado: (2025)
Does the Skeleton-Recall Loss Really Work?
por: Arora, Devansh, et al.
Publicado: (2025)
por: Arora, Devansh, et al.
Publicado: (2025)
Detecting MRI-Invisible Prostate Cancers Using a Weakly Supervised Deep Learning Model
por: Yao Zheng, et al.
Publicado: (2024)
por: Yao Zheng, et al.
Publicado: (2024)
Improved Feature Extraction Network for Neuro-Oriented Target Speaker Extraction
por: Fan, Cunhang, et al.
Publicado: (2025)
por: Fan, Cunhang, et al.
Publicado: (2025)
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
por: Salmanpour, Mohammad R., et al.
Publicado: (2025)
por: Salmanpour, Mohammad R., et al.
Publicado: (2025)
Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
por: Fang, Kun, et al.
Publicado: (2022)
por: Fang, Kun, et al.
Publicado: (2022)
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
por: Hering, Alessa, et al.
Publicado: (2024)
por: Hering, Alessa, et al.
Publicado: (2024)
Reliability of mpMRI in diagnosing cancer prostate following intravesical BCG for bladder cancer
por: Arjun Pon Avudaiappan, et al.
Publicado: (2024)
por: Arjun Pon Avudaiappan, et al.
Publicado: (2024)
Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images
por: Lu, Xiangyong, et al.
Publicado: (2024)
por: Lu, Xiangyong, et al.
Publicado: (2024)
Adaptive Prototype-based Interpretable Grading of Prostate Cancer
por: Bhattacharyya, Riddhasree, et al.
Publicado: (2026)
por: Bhattacharyya, Riddhasree, et al.
Publicado: (2026)
Revealing the Process and Mechanism of Non‐Main Grain Cropland Expansion in China
por: Jie Zhang, et al.
Publicado: (2025)
por: Jie Zhang, et al.
Publicado: (2025)
Long‐Term Risk of Clinically Significant Prostate Cancer in Biopsy‐Negative Patients With Baseline Biparametric Prostate MRI
por: Laura Parhiala, et al.
Publicado: (2024)
por: Laura Parhiala, et al.
Publicado: (2024)
Online Set Learning from Precision and Recall Feedback
por: Cohen, Lee, et al.
Publicado: (2026)
por: Cohen, Lee, et al.
Publicado: (2026)
Composition‐Reinforced Polydopamine Nanoenzyme for Improved Impairment of Prostatitis‐Damaged Sexual Behavior and Enhanced Anti‐Prostate Cancer
por: Keyi Wang, et al.
Publicado: (2024)
por: Keyi Wang, et al.
Publicado: (2024)
Adaptive Teaching with Shared Classifier for Knowledge Distillation
por: Jang, Jaeyeon, et al.
Publicado: (2024)
por: Jang, Jaeyeon, et al.
Publicado: (2024)
Permittivity Estimation in Ray-tracing Using Path Loss Data based on GAMP
por: Jiang, Yuanhao, et al.
Publicado: (2024)
por: Jiang, Yuanhao, et al.
Publicado: (2024)
Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations
por: Qiang, Da-Chun, et al.
Publicado: (2024)
por: Qiang, Da-Chun, et al.
Publicado: (2024)
Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature
por: Bowen Zheng, et al.
Publicado: (2025)
por: Bowen Zheng, et al.
Publicado: (2025)
Editorial for “Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior‐Data Fitted Network‐Based Radiomics Model From MRI ”
por: Karthik M. Sundaram, et al.
Publicado: (2025)
por: Karthik M. Sundaram, et al.
Publicado: (2025)
Utilization of Incontinence Procedures Following Prostate Cancer Treatment: A Population‐Level Analysis
por: Ryan Davis, et al.
Publicado: (2025)
por: Ryan Davis, et al.
Publicado: (2025)
Socioeconomic and Demographic Factors in Genetic Testing Utilization Among Advanced Prostate Cancer Patients
por: Alexandra T. Skowron, et al.
Publicado: (2026)
por: Alexandra T. Skowron, et al.
Publicado: (2026)
Skeletal Muscle Loss During Treatment With Abiraterone in Patients With Metastatic Prostate Cancer
por: Eva Streckova, et al.
Publicado: (2025)
por: Eva Streckova, et al.
Publicado: (2025)
Evaluation of Loss of the Y Chromosome in Peripheral Blood as a Biomarker for Prostate Cancer
por: Jun Lu, et al.
Publicado: (2026)
por: Jun Lu, et al.
Publicado: (2026)
The Prognostic Value of the Prostate Adenocarcinoma With Ductal Feature in Patients With Advanced Prostate Cancer Treated With Abiraterone Acetate
por: Yifu Shi, et al.
Publicado: (2025)
por: Yifu Shi, et al.
Publicado: (2025)
Ejemplares similares
-
Enhancing Prostate Cancer Diagnosis: The Combined Value of PHI and mpMRI
por: Y. M. Yáñez‐Castillo, et al.
Publicado: (2025) -
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
por: Muftah, Asmail, et al.
Publicado: (2024) -
Multimodal Fusion of mpMRI Radiomics, Clinical Features, and Hematological Biomarkers Enhances Machine Learning‐Based Prediction of Biochemical Recurrence in Prostate Cancer Patients
por: Yinxing Zhu, et al.
Publicado: (2025) -
Potential Time and Recall Benefits for Adaptive AI‐Based Breast Cancer MRI Screening
por: Luuk Balkenende, et al.
Publicado: (2025) -
Cognitive Fusion Versus Software Fusion for Subcentimeter Lesions in Transperineal mpMRI/TRUS Fusion‐Guided Prostate Biopsy Under Local Anesthesia
por: Hejia Yuan, et al.
Publicado: (2025)