Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
IEEE

Dual-View Alignment Learning With Hierarchical-Prompt for Class-Imbalance Multi-Label Image Classification

Abstract: Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in ...
IEEE

MC-NCLWO: Newton’s Cooling Law-Based Oversampling Algorithm for Multi-class Imbalanced Datasets with Feature Noise

Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
Hacker

Top Remote Sensing Datasets for Training and Evaluating AI Models

Hiding meaning in plain sight, a tangled web of words and codes, concealing truths from prying eyes. In this section, we will provide a brief overview of commonly used benchmark datasets that evaluate ...
Frontiers

A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

Colorectal cancer is the third most common cancer worldwide, and accurate pathological diagnosis is crucial for clinical intervention and prognosis assessment. Although deep learning has shown promise ...
Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...