Image de couverture de livre

Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bhandary, Shrajan, Kuhn, Dejan, Babaiee, Zahra, Fechter, Tobias, Spohn, Simon K. B., Zamboglou, Constantinos, Grosu, Anca-Ligia, Grosu, Radu
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Scalable Offline Reinforcement Learning for Mean Field Games
par: Brunnbauer, Axel, et autres
Publié: (2024)

Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields
par: Babaiee, Zahra, et autres
Publié: (2024)

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
par: Babaiee, Zahra, et autres
Publié: (2025)

Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
par: Babaiee, Zahra, et autres
Publié: (2024)

The Quest for Universal Master Key Filters in DS-CNNs
par: Babaiee, Zahra, et autres
Publié: (2025)

The Master Key Filters Hypothesis: Deep Filters Are General
par: Babaiee, Zahra, et autres
Publié: (2024)

Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models
par: Farsang, Mónika, et autres
Publié: (2026)

Real-Time Recurrent Reinforcement Learning
par: Lemmel, Julian, et autres
Publié: (2023)

Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
par: Alloula, Anissa, et autres
Publié: (2023)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
par: Brunnbauer, Axel, et autres
Publié: (2024)

MMDVS-LF: Multi-Modal Dynamic Vision Sensor and Eye-Tracking Dataset for Line Following
par: Resch, Felix, et autres
Publié: (2024)

Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
par: Górka, Monika, et autres
Publié: (2024)

AutoPET Challenge: Tumour Synthesis for Data Augmentation
par: Chan, Lap Yan Lennon, et autres
Publié: (2024)

Deep-Learning Atlas Registration for Melanoma Brain Metastases: Preserving Pathology While Enabling Cohort-Level Analyses
par: Wielenberg, Nanna E., et autres
Publié: (2026)

Liquid Resistance Liquid Capacitance Networks
par: Farsang, Mónika, et autres
Publié: (2024)

Differential Gated Self-Attention
par: Lygizou, Elpiniki Maria, et autres
Publié: (2025)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
par: Zhang, Lipei, et autres
Publié: (2024)

Hybridization of Attention UNet with Repeated Atrous Spatial Pyramid Pooling for Improved Brain Tumour Segmentation
par: Chowdhury, Satyaki Roy, et autres
Publié: (2025)

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
par: Natali, Tiziano, et autres
Publié: (2025)

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
par: Yang, Jiaxin, et autres
Publié: (2025)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
par: Jaus, Alexander, et autres
Publié: (2024)

Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
par: Peiris, Himashi, et autres
Publié: (2025)

AutoPET III Challenge: PET/CT Semantic Segmentation
par: Safdari, Reza, et autres
Publié: (2024)

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
par: Sourabh, Suman, et autres
Publié: (2024)

A quantum-classical reinforcement learning model to play Atari games
par: Freinberger, Dominik, et autres
Publié: (2024)

Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling
par: Valeh, Fatemeh, et autres
Publié: (2026)

Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
par: Farsang, Mónika, et autres
Publié: (2025)

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification
par: Farsang, Mónika, et autres
Publié: (2026)

Ising energy model for the stochastic prediction of tumor islets
par: Amoudruz, Lucas, et autres
Publié: (2025)

PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation
par: Yang, Yijing, et autres
Publié: (2024)

Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge
par: Wang, Ching-Wei, et autres
Publié: (2024)

Friedel oscillations in a two-dimensional electron gas and monolayer graphene with a non-Coulomb impurity potential
par: Máthé, Levente, et autres
Publié: (2025)

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
par: Moradi, Ashkan, et autres
Publié: (2025)

Anatomically and Metabolically Informed Diffusion for Unified Denoising and Segmentation in Low-Count PET Imaging
par: Xia, Menghua, et autres
Publié: (2025)

Disentangled PET Lesion Segmentation
par: Gatsak, Tanya, et autres
Publié: (2024)

Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?
par: Farsang, Mónika, et autres
Publié: (2023)

Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
par: Hinterberger, Anna, et autres
Publié: (2025)

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation
par: Garibli, Nadine, et autres
Publié: (2025)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
par: Osuala, Richard, et autres
Publié: (2023)

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation
par: Mazher, Moona, et autres
Publié: (2025)