Image de couverture de livre

Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Lan, Zheng, Yuchao, Yu, Miao, Zhang, Haiqing, Aladwani, Fatemah, Perelli, Alessandro
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition 15-11 I.4.6; I.5.4
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Hessian-Based Lightweight Neural Network HessNet for State-of-the-Art Brain Vessel Segmentation on a Minimal Training Dataset
par: Bernadotte, Alexandra, et autres
Publié: (2025)

Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer
par: Saukkoriipi, Mikko, et autres
Publié: (2024)

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides
par: Høibø, Maren, et autres
Publié: (2023)

Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
par: Saifullah, Shoffan, et autres
Publié: (2024)

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
par: Oskouei, Soroush, et autres
Publié: (2024)

Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation
par: Islam, Md. Farhadul, et autres
Publié: (2024)

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation
par: Lin, Kevin, et autres
Publié: (2024)

A Machine Vision Approach to Preliminary Skin Lesion Assessments
par: Khreis, Ali, et autres
Publié: (2026)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
par: Wagner, Felix, et autres
Publié: (2024)

Visible Iris Area as a Quality Metric for Reliable Iris Recognition Under Pupil Dilation and Eyelid Occlusion
par: Pessaud, Jack, et autres
Publié: (2025)

TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
par: Rehamnia, Walid, et autres
Publié: (2025)

Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
par: Ali, Syed Haider, et autres
Publié: (2025)

Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands
par: Wang, Haitian, et autres
Publié: (2025)

Synthetic-to-Real Transfer Learning for Chromatin-Sensitive PWS Microscopy
par: Arafat, Jahidul, et autres
Publié: (2025)

ILACS-LGOT: A Multi-Layer Contrast Enhancement Approach for Palm-Vein Images
par: Perera, Kaveen, et autres
Publié: (2025)

A Segmentation Foundation Model for Diverse-type Tumors
par: Xie, Jianhao, et autres
Publié: (2024)

CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical Images
par: Khan, Taaha
Publié: (2023)

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
par: Lis, Krzysztof, et autres
Publié: (2022)

Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
par: He, Shihuan, et autres
Publié: (2025)

Detecting Brain Tumors through Multimodal Neural Networks
par: Curci, Antonio, et autres
Publié: (2024)

A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
par: Ortiz, Mateo, et autres
Publié: (2025)

Advancing Visual Computing in Materials Science (Shonan Seminar 189)
par: Heinzl, Christoph, et autres
Publié: (2024)

Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation
par: Allen, M. J., et autres
Publié: (2024)

PSO-UNet: Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation
par: Saifullah, Shoffan, et autres
Publié: (2025)

Semi-Supervised Segmentation via Embedding Matching
par: Xie, Weiyi, et autres
Publié: (2024)

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
par: Xie, Weiyi, et autres
Publié: (2024)

Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training
par: Demirci, Orhan, et autres
Publié: (2025)

Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
par: Mukherjee, Amritendu, et autres
Publié: (2025)

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation
par: Glisson, Calvin, et autres
Publié: (2024)

espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology
par: Hawley, Scott H., et autres
Publié: (2021)

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
par: Liu, Yuxi, et autres
Publié: (2024)

Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
par: Bhadana, Ritesh
Publié: (2026)

HMS-VesselNet: Hierarchical Multi-Scale Attention Network with Topology-Preserving Loss for Retinal Vessel Segmentation
par: R, Amarnath
Publié: (2026)

Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras
par: Kobayashi, Masataka, et autres
Publié: (2025)

Fitzpatrick Thresholding for Skin Image Segmentation
par: Stothers, Duncan, et autres
Publié: (2025)

Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS
par: Allen, Matthew J., et autres
Publié: (2025)

Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth
par: Marinaccio, Michael, et autres
Publié: (2025)

Ensemble YOLO Framework for Multi-Domain Mitotic Figure Detection in Histopathology Images
par: Kelam, Navya Sri, et autres
Publié: (2025)

Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays
par: Bahram, Ali M., et autres
Publié: (2026)

Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation
par: Tischer, Johannes, et autres
Publié: (2025)