Imagen de Portada

Hierarchical Generalized Category Discovery for Brain Tumor Classification in Digital Pathology

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Perkonigg, Matthias, Rockenschaub, Patrick, Göbel, Georg, Wöhrer, Adelheid
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
por: Wang, Enguang, et al.
Publicado: (2025)

SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
por: Rastegar, Sarah, et al.
Publicado: (2024)

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models
por: Wang, Hongjun, et al.
Publicado: (2026)

Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification
por: Melo, Thamara Leandra de Deus, et al.
Publicado: (2026)

SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
por: Caselli, Lorenzo, et al.
Publicado: (2026)

Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
por: Das, Sayan, et al.
Publicado: (2025)

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
por: Wang, Enguang, et al.
Publicado: (2024)

Automated Bi-Fold Weighted Ensemble Algorithms and its Application to Brain Tumor Detection and Classification
por: Huang, PoTsang B., et al.
Publicado: (2024)

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
por: Yuan, Ruicheng, et al.
Publicado: (2026)

AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation
por: Sun, Yongheng, et al.
Publicado: (2024)

Benchmarking Domain Generalization Algorithms in Computational Pathology
por: Zamanitajeddin, Neda, et al.
Publicado: (2024)

Not All Splits Are Equal: Rethinking Attribute Generalization Across Unrelated Categories
por: Fircă, Liviu Nicolae, et al.
Publicado: (2025)

Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
por: Jung, Justin
Publicado: (2025)

Advanced Brain Tumor Segmentation Using EMCAD: Efficient Multi-scale Convolutional Attention Decoding
por: Uzor, GodsGift, et al.
Publicado: (2025)

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
por: Kilicdere, Ezel, et al.
Publicado: (2026)

Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures
por: Blondin, Célia, et al.
Publicado: (2024)

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
por: Sharshar, Ahmed, et al.
Publicado: (2025)

A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction
por: Neelam, Harish
Publicado: (2024)

An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
por: Choi, Eugene, et al.
Publicado: (2024)

MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
por: Shaeri, Pouya, et al.
Publicado: (2025)

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
por: Xun, Yue, et al.
Publicado: (2025)

PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation
por: Ahmed, Faruk, et al.
Publicado: (2025)

Cortex-Grounded Diffusion Models for Brain Image Generation
por: Bongratz, Fabian, et al.
Publicado: (2026)

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy
por: Pattnayak, Priyaranjan, et al.
Publicado: (2024)

Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
por: Satriani, Nathanya, et al.
Publicado: (2026)

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function
por: Asadi, Mehrdad, et al.
Publicado: (2025)

HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
por: Kumbong, Hermann, et al.
Publicado: (2025)

Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
por: Jiang, Bowen, et al.
Publicado: (2023)

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics
por: Alber, Maximilian, et al.
Publicado: (2025)

Scaling Semantic Categories: Investigating the Impact on Vision Transformer Labeling Performance
por: Lamelas, Anthony, et al.
Publicado: (2025)

Multimodal Generalized Category Discovery
por: Su, Yuchang, et al.
Publicado: (2024)

Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
por: Wang, Ye, et al.
Publicado: (2024)

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
por: Díaz-Pernas, Francisco Javier, et al.
Publicado: (2024)

EXAONEPath 1.0 Patch-level Foundation Model for Pathology
por: Yun, Juseung, et al.
Publicado: (2024)

A Survey of Pathology Foundation Model: Progress and Future Directions
por: Xiong, Conghao, et al.
Publicado: (2025)

Stable Diffusion Dataset Generation for Downstream Classification Tasks
por: Lomurno, Eugenio, et al.
Publicado: (2024)

Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
por: Liu, Yuejiang, et al.
Publicado: (2024)

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
por: Yen, Chen-Yu, et al.
Publicado: (2024)

Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
por: Hong, Yunqi, et al.
Publicado: (2025)

Long-Tailed Learning for Generalized Category Discovery
por: Hoang, Cuong Manh
Publicado: (2025)