Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification
Fuente:
arXiv
Guardado en:
| Autores principales: | Kazeminia, Salome, Joosten, Max, Bosnacki, Dragan, Marr, Carsten |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Topological Inductive Bias fosters Multiple Instance Learning in Data-Scarce Scenarios
por: Kazeminia, Salome, et al.
Publicado: (2023)
por: Kazeminia, Salome, et al.
Publicado: (2023)
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
por: Mammadov, Ali, et al.
Publicado: (2025)
por: Mammadov, Ali, et al.
Publicado: (2025)
Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model
por: Ahmed, Enas E., et al.
Publicado: (2026)
por: Ahmed, Enas E., et al.
Publicado: (2026)
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
por: Umer, Rao Muhammad, et al.
Publicado: (2025)
por: Umer, Rao Muhammad, et al.
Publicado: (2025)
MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
por: Jovišić, Nikola, et al.
Publicado: (2026)
por: Jovišić, Nikola, et al.
Publicado: (2026)
PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification
por: Moreira, Larissa Ferreira Rodrigues, et al.
Publicado: (2026)
por: Moreira, Larissa Ferreira Rodrigues, et al.
Publicado: (2026)
Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder
por: Mert, Gizem, et al.
Publicado: (2024)
por: Mert, Gizem, et al.
Publicado: (2024)
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
por: Bai, Yu, et al.
Publicado: (2025)
por: Bai, Yu, et al.
Publicado: (2025)
Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification
por: Li, Haiqing, et al.
Publicado: (2025)
por: Li, Haiqing, et al.
Publicado: (2025)
Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning
por: Mollick, Md. Abu Ahnaf, et al.
Publicado: (2025)
por: Mollick, Md. Abu Ahnaf, et al.
Publicado: (2025)
Spatial Blindness in Whole-Slide Multiple Instance Learning
por: Li, Xiangyu, et al.
Publicado: (2026)
por: Li, Xiangyu, et al.
Publicado: (2026)
From Semantic To Instance: A Semi-Self-Supervised Learning Approach
por: Najafian, Keyhan, et al.
Publicado: (2025)
por: Najafian, Keyhan, et al.
Publicado: (2025)
Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data
por: Cenikj, Nikola, et al.
Publicado: (2026)
por: Cenikj, Nikola, et al.
Publicado: (2026)
CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning
por: Lolos, Andreas, et al.
Publicado: (2025)
por: Lolos, Andreas, et al.
Publicado: (2025)
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
por: Mammadov, Ali, et al.
Publicado: (2025)
por: Mammadov, Ali, et al.
Publicado: (2025)
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
por: Zhou, Qifeng, et al.
Publicado: (2024)
por: Zhou, Qifeng, et al.
Publicado: (2024)
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
por: Singh, Pranav, et al.
Publicado: (2023)
por: Singh, Pranav, et al.
Publicado: (2023)
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
por: Sun, Susu, et al.
Publicado: (2025)
por: Sun, Susu, et al.
Publicado: (2025)
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
por: Qiu, Peijie, et al.
Publicado: (2023)
por: Qiu, Peijie, et al.
Publicado: (2023)
MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification
por: Wen, Jiangping, et al.
Publicado: (2025)
por: Wen, Jiangping, et al.
Publicado: (2025)
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
por: Afonso, Martim, et al.
Publicado: (2024)
por: Afonso, Martim, et al.
Publicado: (2024)
HookMIL: Revisiting Context Modeling in Multiple Instance Learning for Computational Pathology
por: Ling, Xitong, et al.
Publicado: (2025)
por: Ling, Xitong, et al.
Publicado: (2025)
CoMAD: A Multiple-Teacher Self-Supervised Distillation Framework
por: Mandalika, Sriram, et al.
Publicado: (2025)
por: Mandalika, Sriram, et al.
Publicado: (2025)
Harnessing Self-Supervised Features for Art Classification
por: Melis, Federico, et al.
Publicado: (2026)
por: Melis, Federico, et al.
Publicado: (2026)
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images
por: Saada, Thiziri Nait, et al.
Publicado: (2024)
por: Saada, Thiziri Nait, et al.
Publicado: (2024)
GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging
por: Li, Xiangyu, et al.
Publicado: (2026)
por: Li, Xiangyu, et al.
Publicado: (2026)
ReaMIL: Reasoning- and Evidence-Aware Multiple Instance Learning for Whole-Slide Histopathology
por: Jung, Hyun Do, et al.
Publicado: (2026)
por: Jung, Hyun Do, et al.
Publicado: (2026)
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
por: Taghavi, Pardis, et al.
Publicado: (2025)
por: Taghavi, Pardis, et al.
Publicado: (2025)
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
por: Pocevičiūtė, Milda, et al.
Publicado: (2024)
por: Pocevičiūtė, Milda, et al.
Publicado: (2024)
Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathology
por: Zhang, Yuqi, et al.
Publicado: (2024)
por: Zhang, Yuqi, et al.
Publicado: (2024)
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
por: Zhao, Beidi, et al.
Publicado: (2025)
por: Zhao, Beidi, et al.
Publicado: (2025)
Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
por: Liang, Huanwen, et al.
Publicado: (2025)
por: Liang, Huanwen, et al.
Publicado: (2025)
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
por: Koch, Valentin, et al.
Publicado: (2024)
por: Koch, Valentin, et al.
Publicado: (2024)
A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods
por: Rahmani, Amir Masoud, et al.
Publicado: (2024)
por: Rahmani, Amir Masoud, et al.
Publicado: (2024)
Measuring Prediction Uncertainty in Neural Cellular Automata
por: Sadafi, Ario, et al.
Publicado: (2026)
por: Sadafi, Ario, et al.
Publicado: (2026)
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification
por: Jannat, Fatema-E-, et al.
Publicado: (2024)
por: Jannat, Fatema-E-, et al.
Publicado: (2024)
Self-Supervised Learning for Endoscopic Video Analysis
por: Hirsch, Roy, et al.
Publicado: (2023)
por: Hirsch, Roy, et al.
Publicado: (2023)
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
por: Cheng, Hangbei, et al.
Publicado: (2025)
por: Cheng, Hangbei, et al.
Publicado: (2025)
SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
por: Chai, Enhui, et al.
Publicado: (2026)
por: Chai, Enhui, et al.
Publicado: (2026)
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study
por: Chauhan, Ekansh, et al.
Publicado: (2024)
por: Chauhan, Ekansh, et al.
Publicado: (2024)
Ejemplares similares
-
Topological Inductive Bias fosters Multiple Instance Learning in Data-Scarce Scenarios
por: Kazeminia, Salome, et al.
Publicado: (2023) -
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
por: Mammadov, Ali, et al.
Publicado: (2025) -
Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model
por: Ahmed, Enas E., et al.
Publicado: (2026) -
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
por: Umer, Rao Muhammad, et al.
Publicado: (2025) -
MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
por: Jovišić, Nikola, et al.
Publicado: (2026)