AZoOptics

Laser Scanning Dataset Enables AI-Driven Forest Analysis

The TreeScanPL10K dataset provides over 10,000 annotated TLS point clouds, advancing precision forestry and ecological ...
IEEE

Deep Learning Approaches for Multi-Label Classification of Ophthalmic Diseases: A ...

Abstract: Ophthalmic diseases are a major contributor of blindness and visual impairment globally. Effective treatment and halting the progression of the disease depend on an early and precise ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Multi-Label Classification of English Social Media Texts based on Deep Learning Algorithm

Abstract: Multi-label classification of English social media texts has become an important task in natural language processing (NLP). Traditional classification methods have shortcomings in dealing ...
Frontiers

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

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

Deep ensemble learning-driven fully automated multi-structure segmentation for precision ...

Accurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully automatic ...