Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Tschuchnig, Maximilian E., Grubmüller, Philipp, Stangassinger, Lea M., Kreutzer, Christina, Couillard-Després, Sébastien, Oostingh, Gertie J., Hittmair, Anton, Gadermayr, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
by: Tschuchnig, Maximilian E., et al.
Published: (2021)
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Lightweight Residual Network for The Classification of Thyroid Nodules
by: Nikhila, Ponugoti, et al.
Published: (2019)
by: Nikhila, Ponugoti, et al.
Published: (2019)
Diagnostic Impact of Cine Clips for Thyroid Nodule Assessment on Ultrasound
by: Yang, Jichen, et al.
Published: (2026)
by: Yang, Jichen, et al.
Published: (2026)
Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
by: Fang, Zijie, et al.
Published: (2023)
by: Fang, Zijie, et al.
Published: (2023)
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
by: Zhu, Wenhui, et al.
Published: (2024)
by: Zhu, Wenhui, et al.
Published: (2024)
Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)
by: Osman, Showkat, et al.
Published: (2025)
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
by: Chen, Xiwen, et al.
Published: (2025)
by: Chen, Xiwen, et al.
Published: (2025)
Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
by: Tushar, Fakrul Islam
Published: (2024)
by: Tushar, Fakrul Islam
Published: (2024)
Parameter-Efficient Instance-Adaptive Neural Video Compression
by: Yang, Hyunmo, et al.
Published: (2024)
by: Yang, Hyunmo, et al.
Published: (2024)
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping
by: Breen, Jack, et al.
Published: (2023)
by: Breen, Jack, et al.
Published: (2023)
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification
by: Nabavi, Shahabedin, et al.
Published: (2024)
by: Nabavi, Shahabedin, et al.
Published: (2024)
A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
by: Keshvarikhojasteh, Hassan, et al.
Published: (2025)
by: Keshvarikhojasteh, Hassan, et al.
Published: (2025)
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
by: Gao, Feng, et al.
Published: (2024)
by: Gao, Feng, et al.
Published: (2024)
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
by: Moin, Mukaffi Bin, et al.
Published: (2024)
by: Moin, Mukaffi Bin, et al.
Published: (2024)
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
by: Tommasino, Cristian, et al.
Published: (2024)
by: Tommasino, Cristian, et al.
Published: (2024)
Improving Instance Optimization in Deformable Image Registration with Gradient Projection
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Diverse Instance Generation via Diffusion Models for Enhanced Few-Shot Object Detection in Remote Sensing Images
by: Liu, Yanxing, et al.
Published: (2025)
by: Liu, Yanxing, et al.
Published: (2025)
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
by: Xu, Liying, et al.
Published: (2025)
by: Xu, Liying, et al.
Published: (2025)
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
by: Sultan, K M Arefeen, et al.
Published: (2024)
by: Sultan, K M Arefeen, et al.
Published: (2024)
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
by: Liang, Guoyan, et al.
Published: (2025)
by: Liang, Guoyan, et al.
Published: (2025)
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
by: Struski, Łukasz, et al.
Published: (2023)
by: Struski, Łukasz, et al.
Published: (2023)
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
by: Qi, Lirui, et al.
Published: (2025)
by: Qi, Lirui, et al.
Published: (2025)
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling
by: Campanella, Gabriele, et al.
Published: (2024)
by: Campanella, Gabriele, et al.
Published: (2024)
Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification
by: Coluzzi, Davide, et al.
Published: (2023)
by: Coluzzi, Davide, et al.
Published: (2023)
UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation
by: Zhang, Jinwei, et al.
Published: (2025)
by: Zhang, Jinwei, et al.
Published: (2025)
Deep Learning for Automated Wound Classification And Segmentation
by: Jahangir, Md. Zihad Bin, et al.
Published: (2024)
by: Jahangir, Md. Zihad Bin, et al.
Published: (2024)
Skeletonisation Scale-Spaces
by: Gierke, Julia, et al.
Published: (2025)
by: Gierke, Julia, et al.
Published: (2025)
Streamlined Hybrid Annotation Framework using Scalable Codestream for Bandwidth-Restricted UAV Object Detection
by: Khoury, Karim El, et al.
Published: (2024)
by: Khoury, Karim El, et al.
Published: (2024)
Conditional Optimal Filter Selection for Multispectral Object Classification
by: Kossira, Katja, et al.
Published: (2024)
by: Kossira, Katja, et al.
Published: (2024)
A Deep Learning Architectures for Kidney Disease Classification
by: Farooq, Muhammad Shoaib, et al.
Published: (2024)
by: Farooq, Muhammad Shoaib, et al.
Published: (2024)
Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
by: Blumenthal, Moritz, et al.
Published: (2024)
by: Blumenthal, Moritz, et al.
Published: (2024)
AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
by: Zheng, Tingting, et al.
Published: (2026)
by: Zheng, Tingting, et al.
Published: (2026)
STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification
by: Adam, Irsyad, et al.
Published: (2025)
by: Adam, Irsyad, et al.
Published: (2025)
A Spectrum-based Image Denoising Method with Edge Feature Enhancement
by: Luvton, Peter, et al.
Published: (2024)
by: Luvton, Peter, et al.
Published: (2024)
Similar Items
-
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025) -
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021) -
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
by: Tschuchnig, Maximilian, et al.
Published: (2025)