A. Janowczyk

Discipline

Sciences de l'information et de la communication (1)

Type de document

Articles (16)

Co-auteur

Date

Source

Mot-clé

pathologie (12) Pathology (12) Human beings (7) Example (7) tissu (corporel) (6) modèle (6) Swiss (6) cancer (5) Treatment (5) Cancer (5) Image analysis (5) Ci (Chinese poetry) (5) Patients (5) Pathologists (5) Cancer (5) Artificial intelligence (5) Patients (5) intelligence artificielle (5) test (4) risque (4) morphologie (4) danger (4) Morphology (4) Diagnosis (4) Slides (4) Workflow (4) Risk (4) Prognosis (4) Morphology (4) Learning (4)

Documents écrit par A. Janowczyk (16) | parle de A. Janowczyk (0)

Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology.
A. Janowczyk et al.
PatchSorter: a high throughput deep learning digital pathology tool for object labeling.
C. Walker et al. (20 juin 2024)
Digital image analysis and artificial intelligence in pathology diagnostics-the Swiss view
S. Berezowska et al.
Pathologist Computer-Aided Diagnostic Scoring of Tumor Cell Fraction: A Swiss National Study.
A.L. Frei et al.
Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer.
Y. Chen et al. (17 mai 2023)
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.
Y. Zhou et al.
Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19.
V.H. Koelzer et al.
Towards a national strategy for digital pathology in Switzerland.
A. Janowczyk et al.
Meta-omics-aided isolation of an elusive anaerobic arsenic-methylating soil bacterium.
K. Viacava et al.
Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation.
S. Arabyarmohammadi et al.
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland Analysis.
W. Xie et al. (15 janv. 2022)
MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology Studies.
C. Gámez Serna et al. (2022)
Impact of scanner variability on lymph node segmentation in computational pathology.
A. Khan et al. (2022)
Quick Annotator: an open-source digital pathology based rapid image annotation tool.
R. Miao et al.
Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study.
P. Leo et al. (3 mai 2021)
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study.
C. Lu et al.