Hoa N. Pham
Nagasaki, Japan
Last Updated: 09/26/2026
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Found 11 publications
Extracting Histologic Features to Distinguish Primary and Metastatic Squamous Cell Carcinoma of the Lung.
Journal: Pathology international
Published: July 08, 2025
Comparison of glass-based and whole-slide image-based grade assignment for clear-cell and papillary renal cell carcinoma: a multi-cohort, international reproducibility study.
Journal: Histopathology
Published: July 07, 2025
An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading.
Journal: NPJ precision oncology
Published: February 14, 2023
A collaborative workflow between pathologists and deep learning for the evaluation of tumour cellularity in lung adenocarcinoma.
Journal: Histopathology
Published: March 21, 2022
Clinicopathological significance of the expression of PD-L1 in non-small cell lung cancer.
Journal: Annals of diagnostic pathology
Published: December 13, 2020
A narrative review of digital pathology and artificial intelligence: focusing on lung cancer.
Journal: Translational lung cancer research
Published: November 19, 2020
Immune evolution from preneoplasia to invasive lung adenocarcinomas and underlying molecular features.
Journal: Nature communications
Published: September 07, 2020
Evolution of DNA methylome from precancerous lesions to invasive lung adenocarcinomas.
Journal: Nature communications
Published: July 14, 2020
Cold and heterogeneous T cell repertoire is associated with copy number aberrations and loss of immune genes in small-cell lung cancer.
Journal: Nature communications
Published: June 10, 2020
Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.
Journal: The American journal of pathology
Published: May 16, 2019
Showing 1-11 of 11
Last Updated: 09/26/2026