Copertina

Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yoo, Jay J., Namdar, Khashayar, Khalvati, Farzad
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images
di: Yoo, Jay J., et al.
Pubblicazione: (2022)

AI-Driven MRI-based Brain Tumour Segmentation Benchmarking
di: Ludwig, Connor, et al.
Pubblicazione: (2025)

A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI
di: Liu, Felicia, et al.
Pubblicazione: (2025)

Non-invasive Liver Fibrosis Screening on CT Images using Radiomics
di: Yoo, Jay J., et al.
Pubblicazione: (2022)

Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
di: Namdar, Khashayar, et al.
Pubblicazione: (2022)

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks
di: Namdar, Khashayar, et al.
Pubblicazione: (2024)

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images
di: Wu, Hongyi, et al.
Pubblicazione: (2025)

Comparative Evaluation of Hard and Soft Clustering for Precise Brain Tumor Segmentation in MR Imaging
di: Bora, Dibya Jyoti, et al.
Pubblicazione: (2025)

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation
di: Xie, Ruitao, et al.
Pubblicazione: (2024)

ClinicalFMamba: Advancing Clinical Assessment using Mamba-based Multimodal Neuroimaging Fusion
di: Zhou, Meng, et al.
Pubblicazione: (2025)

Superpixel Integrated Grids for Fast Image Segmentation
di: Roberts, Jack, et al.
Pubblicazione: (2025)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
di: Li, Hongwei Bran, et al.
Pubblicazione: (2023)

Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation
di: Giraud, Rémi, et al.
Pubblicazione: (2025)

Deep Spherical Superpixels
di: Giraud, Rémi, et al.
Pubblicazione: (2024)

Texture-Aware Superpixel Segmentation
di: Giraud, Remi, et al.
Pubblicazione: (2019)

Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis
di: Ketabi, Sara, et al.
Pubblicazione: (2024)

Contrastive Prompt Clustering for Weakly Supervised Semantic Segmentation
di: Wu, Wangyu, et al.
Pubblicazione: (2025)

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation
di: Wu, Wangyu, et al.
Pubblicazione: (2024)

Do Superpixel Segmentation Methods Influence Deforestation Image Classification?
di: Resende, Hugo, et al.
Pubblicazione: (2025)

Joint Superpixel and Self-Representation Learning for Scalable Hyperspectral Image Clustering
di: Li, Xianlu, et al.
Pubblicazione: (2025)

Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images
di: Qi, Jianhan, et al.
Pubblicazione: (2024)

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
di: Buranasiri, Vutichart, et al.
Pubblicazione: (2026)

Unsupervised Instance Segmentation with Superpixels
di: Hoang, Cuong Manh
Pubblicazione: (2025)

Image Augmentation Agent for Weakly Supervised Semantic Segmentation
di: Wu, Wangyu, et al.
Pubblicazione: (2024)

Superpixel-Based Image Segmentation Using Squared 2-Wasserstein Distances
di: Huang, Jisui, et al.
Pubblicazione: (2026)

Hierarchical Superpixel Segmentation via Structural Information Theory
di: Xie, Minhui, et al.
Pubblicazione: (2025)

Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
di: Tang, Qingchen, et al.
Pubblicazione: (2025)

Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation
di: Dai, Qiyuan, et al.
Pubblicazione: (2024)

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
di: Wu, Wangyu, et al.
Pubblicazione: (2023)

Generative Adversarial Synthesis and Deep Feature Discrimination of Brain Tumor MRI Images
di: Ali, Md Sumon, et al.
Pubblicazione: (2025)

Semi-Supervised Hyperspectral Image Classification with Edge-Aware Superpixel Label Propagation and Adaptive Pseudo-Labeling
di: Qiu, Yunfei, et al.
Pubblicazione: (2026)

Superpixel Segmentation: A Long-Lasting Ill-Posed Problem
di: Giraud, Rémi, et al.
Pubblicazione: (2024)

AINet+: Advancing Superpixel Segmentation via Cascaded Association Implantation
di: Wang, Yaxiong, et al.
Pubblicazione: (2021)

Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
di: Sarafis, Ioannis, et al.
Pubblicazione: (2025)

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion
di: Zhou, Meng, et al.
Pubblicazione: (2024)

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation
di: Zeng, Dewen, et al.
Pubblicazione: (2025)

Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension
di: Yang, Zaiquan, et al.
Pubblicazione: (2024)

DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation
di: Jang, Soojin, et al.
Pubblicazione: (2024)

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching
di: Giraud, Rémi, et al.
Pubblicazione: (2020)

Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
di: Zhang, Zheyuan, et al.
Pubblicazione: (2025)