Multiple instance classification: Review, taxonomy and comparative study

2013/06/19 by Jaume Amores · 42 citations
Computer Science · Agricultural and Biological Sciences · #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques #Smart Agriculture and AI

paper · doi:10.1016/j.artint.2013.06.003

Citations

• Solving the multiple instance problem with axis-parallel rectangles

Cited by

• Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval
• Learning to Draw: Emergent Communication through Sketching
• Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
• MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image
• An Approach for Detection of Entities in Dynamic Media Contents
• In Defense of LSTMs for Addressing Multiple Instance Learning Problems
• Provably Consistent Partial-Label Learning
• Learning with partially separable data
• Nested Multiple Instance Learning in Modelling of HTTP network traffic
• A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
• Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
• Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
• SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images
• Multiple Instance Learning for ECG Risk Stratification
• Multi-instance Domain Adaptation for Vaccine Adverse Event Detection
• Learning Object Detection from Captions via Textual Scene Attributes
• Approximation capability of neural networks on spaces of probability measures and tree-structured domains
• Amino acid composition predicts prion activity. [europepmc]
• Learning from biomedical linked data to suggest valid pharmacogenes. [europepmc]
• Automatic emphysema detection using weakly labeled HRCT lung images. [europepmc]
• Deep Learning for Whole-Slide Tissue Histopathology Classification: A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett's Esophagus. [europepmc]
• Hybrid FPGA-CPU-Based Architecture for Object Recognition in Visual Servoing of Arm Prosthesis. [europepmc]
• Voxel-wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns. [europepmc]
• Deep learning identifies morphological patterns of homologous recombination deficiency in luminal breast cancers from whole slide images. [europepmc]
• Weakly supervised identification of microscopic human breast cancer-related optical signatures from normal-appearing breast tissue. [europepmc]
• Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images. [europepmc]
• Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework. [europepmc]
• Site Agnostic Approach to Early Detection of Cyberbullying on Social Media Networks. [europepmc]
• Weakly Supervised Identification and Localization of Drug Fingerprints Based on Label-Free Hyperspectral CARS Microscopy. [europepmc]
• Computational analysis of peripheral blood smears detects disease-associated cytomorphologies. [europepmc]
• Tumor-associated macrophages trigger MAIT cell dysfunction at the HCC invasive margin. [europepmc]
• Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status. [europepmc]
• Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. [europepmc]
• Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol. [europepmc]
• Detecting m6A RNA modification from nanopore sequencing using a semisupervised learning framework. [europepmc]
• m6ATM: a deep learning framework for demystifying the m6A epitranscriptome with Nanopore long-read RNA-seq data. [europepmc]
• HID-CON: weakly supervised intrahepatic cholangiocarcinoma subtype classification of whole slide images using contrastive hidden class detection. [europepmc]
• AI-augmented differential diagnosis of granulomatous rosacea and lupus miliaris disseminatus faciei: A 23-year retrospective pilot study. [europepmc]
• Utilization of artificial intelligence-based pulmonary nodule target reconstruction software in clinical practice education for standardized training residents. [europepmc]
• Random features meet MIL: a deep GP approach to colorectal MSI prediction. [europepmc]
• [Feature distillation multiple instance learning method based on sequence reorganized Mamba]. [europepmc]
• Breast cancer detection using microscopic images based on composition features. [europepmc]