Tag: deep learning
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Early AML Detection with YOLOv12 Deep Learning Model
Discover how the YOLOv12 deep learning model enables early and accurate detection of Acute Myeloid Leukemia for improved patient outcomes.
Prototype-Grounded Models for Verifiable Concept Alignment
Discover how Prototype-Grounded Concept Models improve AI interpretability by aligning learned concepts with human understanding for trustworthy prediction...
ECG-Lens: Top ML & DL Models on PTB-XL ECG Dataset
Discover how ECG-Lens benchmarks top ML and DL models for ECG classification on the PTB-XL dataset, achieving 80% accuracy and 90% ROC-AUC.
SegMix: Shuffle-Based Learning for Pathology Image Segmentation
SegMix improves pathology image segmentation using shuffle-based feedback learning, enhancing pseudo masks from image-level labels for accurate analysis.
PAC-Bayesian Theory Explains Early-Exit Network Generalization
Discover how PAC-Bayesian theory improves understanding of early-exit networks' generalization and adaptive depth for faster, efficient neural networks.