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Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|November 6, 2019
Dataset for the reporting of urinary tract carcinoma-biopsy and transurethral resection specimen: recommendations from the International Collaboration on Cancer Reporting (ICCR)M Varma, J R Srigley, F Brimo, et al.
Virchows Archiv : an International Journal of Pathology|January 10, 2020
Dataset for the reporting of carcinoma of the bladder-cystectomy, cystoprostatectomy and diverticulectomy specimens: recommendations from the International Collaboration on Cancer Reporting (ICCR)E Compérat, J R Srigley, F Brimo, et al.
The Journal of Urology|October 25, 2021
Findings in 1,123 Men with Preoperative 68Ga-Prostate-Specific Membrane Antigen Positron Emission Tomography/Computerized Tomography and Multiparametric Magnetic Resonance Imaging Compared to Totally Embedded Radical Prostatectomy Histopathology: Implications for the Diagnosis and Management of Prostate CancerS Raveenthiran, W J Yaxley, T Franklin, et al.
Pathology|December 27, 2021
Percentage grade 4 tumour predicts outcome for prostate adenocarcinoma in needle biopsies from patients with advanced disease: 10-year data from the TROG 03.04 RADAR trialB Delahunt, A Steigler, C Atkinson, et al.
Malaria Journal|September 27, 2018
Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in PeruKatherine Torres, Christine M Bachman, Charles B Delahunt, et al.
The Journal of Pathology|December 9, 1997
The Heidelberg classification of renal cell tumoursG Kovacs, M Akhtar, B J Beckwith, et al.
Malaria Journal|February 26, 2021
Performance of a fully-automated system on a WHO malaria microscopy evaluation slide setMatthew P Horning, Charles B Delahunt, Christine M Bachman, et al.
PLOS Global Public Health|February 12, 2026
NTDscope: A multi-contrast portable microscope for disease diagnosisMaría Díaz de León Derby, Zaina L Moussa, Carlos F Ng, et al.
Malaria Journal|April 13, 2022
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learningDebashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, et al.
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