Jianhua Ma

[Establishment of a deep feature-based classification model for distinguishing benign and malignant breast tumors on full-filed digital mammography].

2019 · PubMed

OBJECTIVE: To develop a deep features-based model to classify benign and malignant breast lesions on full- filed digital mammography. METHODS: -test. The deep features (DF) were extracted from the 3 pre-trained deep learning models, namely …

Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT

2022 · IEEE Transactions on Industrial Informatics

The impact of Internet of Things (IoT) has become increasingly significant in smart manufacturing, while deep generative model (DGM) is viewed as a promising learning technique to work with large amount of continuously generated industrial …

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning

2024 · arXiv (Cornell University)

Forensic pathology is critical in determining the cause and manner of death through post-mortem examinations, both macroscopic and microscopic. The field, however, grapples with issues such as outcome variability, laborious processes, and a scarcity of …

Large language models for knowledge-centric scientific intelligence: methods, challenges, and lessons from geoscience

2026 · Artificial Intelligence Review

Abstract Large language models (LLMs) are increasingly being explored in geoscience, where scientific knowledge is expressed through specialized terminology, heterogeneous documents, maps, imagery, geospatial structures, and temporally ordered interpretations. This review critically examines the emerging …